Sökresultat för "Financial Modeling"

We are seeking an experienced and strategic Finance Lead to own and advance SCALINQ’s financial planning, reporting, and control functions. In this role, you will partner closely with management and cross-functional teams to ensure robust financial governance, prepare business decisions, and enable scalable growth. This position requires strong accounting and financial planning experience, a hands-on mindset, and the ability to translate financial data into clear, actionable insights. The role includes: Lead monthly, quarterly, and annual financial statements and management reporting in accordance with applicable accounting standards Develop and maintain financial models, forecasts, and long-range plans to support strategic decision-making Own budgeting and variance analysis processes; provide timely insights and recommendations to leadership Oversee cash flow management, treasury activities, and working capital optimization Manage month-end and year-end close processes and coordinate with external auditors Design and implement internal controls and procedures to ensure compliance and mitigate risk Partner with cross-functional teams (R&D, operations, sales, HR) to align financial priorities with business objectives Lead and develop finance routines, fostering a collaborative and high-performance culture Required Skills: Bachelor’s degree in Finance, Accounting, Economics, or a related field; CPA, ACCA, or equivalent ~5 years of progressive finance experience, including financial reporting, FP&A, and audit Strong technical accounting knowledge and experience with financial controls Experience in high-growth technology or deep-tech companies, preferably hardware or R&D-focused organizations Proven ability to build financial models and produce timely, accurate forecasts Excellent communication skills with the ability to present complex information clearly to non-financial stakeholders Fluency in professional Swedish and English, spoken and written Combines clarity of focus with a dynamic approach, excelling in high-velocity settings that require both strategic pivoting and confident, timely decision-making. Preferable Skills: Familiarity with international accounting and tax matters for cross-border teams Optimizing international supply chains and navigating the complexities of global procurement and contract management Experience implementing financial systems and process automation Experience working in ERP systems, and the implementation of such We are looking for someone who is: Analytical, detail-oriented, and proactive, with a strong sense of ownership and a collaborative mindset. You thrive in fast-moving environments, enjoy simplifying complexity, and can balance tactical execution with strategic thinking. You build trust through transparency and consistently drive improvements in financial discipline and decision support across the organization. About us: SCALINQ is a prominent player in the growing field of quantum computing. Our core focus is the development of state-of-the-art cryogenic hardware. All our products are classified as enabling hardware and are vital for the overall performance of a quantum computer. This could be your opportunity to play a key role in unlocking the full potential of a new tech era while structuring the financial backbone of the company. The Team: At SCALINQ, diversity and inclusion are at the core of who we are. Our greatest strength lies in the people who shape our company, each contributing their unique skills and perspectives. Together, we blend cutting-edge research expertise with traditional engineering practices to develop innovative and commercially viable solutions. Joining our team means being part of a dynamic environment where every contribution matters. What we offer: At SCALINQ, you’ll join a fast-moving, multicultural team at the forefront of a cutting-edge industry. We offer competitive compensation, healthcare benefits, continuous learning opportunities, and an inspiring, modern workspace built for collaboration and innovation. You will have the autonomy to shape finance processes and influence strategic outcomes that matter. Join Us: If this opportunity sounds like a good fit, please apply by sending your resume and a cover letter. Mark your application with Finance Lead.

Do you want to make a real impact by applying your analytical expertise to shape the future of risk-adjusted financial steering? In Swedbank you have the opportunity to: Use your senior expertise in credit risk and/or capital management to address complex challenges and make a real impact in the business-critical area of risk-adjusted financial steering. Lead and take ownership of activities related to development of new models and methods for capital allocation and risk-adjusted profitability management in the Swedish corporate banking business. Leverage large-scale, complex datasets to perform quantitative analysis and derive actionable insights, strengthen model performance and enhance steering capabilities. Drive change initiatives within the capital domain, ensuring effective collaboration with colleagues across the business area Corporate & Institutions and Swedbank’s central group functions (Risk, Treasury and Finance). What is needed in this role: A degree in engineering, mathematics, statistics, economics or a related quantitative field. 5+ years of experience from analytical roles within credit risk, modelling (IRB/IFRS 9), ICAAP, stress testing or capital management. Strong analytical skills combined with a genuine interest in business, and motivation to use data, models and insights to strengthen decision-making where risk, return and business value meet. You enjoy working with complex topics, take ownership of your deliveries and have a strong sense of quality and responsibility. You are eager to learn and committed to developing both your technical expertise and your business understanding. As a person, you are collaborative, solution-oriented and transparent. You contribute positively to the team, communicate clearly with different stakeholders and are comfortable challenging assumptions when needed. With us, you can experience: Personal and professional growth through self-leadership and continuous development. Meaningful work that positively impacts our workplace, our customers, and society. An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities. A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role. Benefits such as our share based reward program Eken, company pension plan, employee offer for banking products, health insurance. "Join our team and... You’ll join a supportive and collaborative team that values both high-quality work and a positive team culture. We are a highly engaged and driven analytical team working together to enable long-term, sustainable profitability in the Swedish corporate banking business. Our focus is on delivering solutions that strengthen the business by improving risk-adjusted decision-making, capital efficiency and competitiveness." Elin Rapp, your future manager We look forward to receiving your application by 31.08.2026.  Location: Stockholm, Malmskillnadsgatan Recruiting manager: Elin Rapp We may begin the selection during the application period, so we welcome your application as soon as possible. We would like to let you know that a background check and a drug test may be a part of the process for this role. We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services. Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome. #LI-SW1 #LI-Hybrid

TL;DR - We’re looking for a business-savvy data scientist to build and scale financial analytics, from data models and metrics frameworks to forecasting and strategic insights. You’ll turn product and business data into clear decisions, partner closely with Finance, Data, and Engineering, and support executive reporting and fundraising with reliable models, dashboards, and analysis. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for A business-minded data scientist excited to level up our financial analytics by building metrics frameworks and data models. Ability to move seamlessly between exploratory analysis, behavioral modeling, hypothesis testing, and strategic recommendations. Experience creating production-level data models with strong testing, and clear ownership across pipelines. Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights. Deep curiosity about user behavior and what actually drives growth and retention Expertise in financial modeling, forecasting, and scenario analysis (P&L, cash flow, unit economics). What you’ll do Partner with the Finance team to build and maintain financial projections, decision analyses, and long-range plans Work closely with data and engineering teams to leverage product and business data for deeper financial insights, cohort analysis, and predictive modeling Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions Build dashboards, alerts, and automated reporting to keep the team informed and aligned Monitor data quality and collaborate with engineering to maintain reliability Translate complex financial data into clear narratives for executive and board audiences Support fundraising and strategic initiatives with ad-hoc financial analysis and data room preparation Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform) And always on the lookout for what's next! How we hire Fill out a short form and hop on a quick intro call with our recruiting team Walk through past work and real examples of your process Show us your Most Impressive Project Cross-functional interviews to meet more team members About your application Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested please apply through our careers portal.

TL;DR - We’re looking for a business-savvy data scientist to build and scale financial analytics, from data models and metrics frameworks to forecasting and strategic insights. You’ll turn product and business data into clear decisions, partner closely with Finance, Data, and Engineering, and support executive reporting and fundraising with reliable models, dashboards, and analysis. WHY LOVABLE? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for * A business-minded data scientist excited to level up our financial analytics by building metrics frameworks and data models. * Ability to move seamlessly between exploratory analysis, behavioral modeling, hypothesis testing, and strategic recommendations. * Experience creating production-level data models with strong testing, and clear ownership across pipelines. * Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights. * Deep curiosity about user behavior and what actually drives growth and retention * Expertise in financial modeling, forecasting, and scenario analysis (P&L, cash flow, unit economics). What you’ll do * Partner with the Finance team to build and maintain financial projections, decision analyses, and long-range plans * Work closely with data and engineering teams to leverage product and business data for deeper financial insights, cohort analysis, and predictive modeling * Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions * Build dashboards, alerts, and automated reporting to keep the team informed and aligned * Monitor data quality and collaborate with engineering to maintain reliability * Translate complex financial data into clear narratives for executive and board audiences * Support fundraising and strategic initiatives with ad-hoc financial analysis and data room preparation OUR TECH STACK We're building with tools that both humans and AI love: * Frontend: React * Backend: Golang and Rust * Cloud: Cloudflare, GCP, AWS, Many LLM providers * DevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform) And always on the lookout for what's next! HOW WE HIRE 1. Fill out a short form and hop on a quick intro call with our recruiting team 2. Walk through past work and real examples of your process 3. Show us your Most Impressive Project 4. Cross-functional interviews to meet more team members About your application * Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join. * We treat all candidates equally - if you’re interested please apply through our careers portal.

Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments. We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together. As an Interim Business Controller, you will act as a strategic partner to the organization, bridging the gap between financial data and operational action. You will enable Mentimeter to scale by ensuring senior leaders and budget owners have a transparent understanding of their financial performance. By providing high-quality insights and a robust financial framework, you empower decision-makers to prioritize investments effectively and navigate the complexities of a fast-paced global SaaS business with confidence. You will be an integral part of our creative and driven cross-functional Finance team, reporting directly to our CFO. WHAT YOU’LL DO During this 12-month cover, you will operate as a "Catalyst" for the business, moving beyond reporting into active partnership. Your responsibilities include: * Financial Partnership: Act as a dedicated advisor to senior leaders, helping them interpret financial results and manage departmental P&Ls. * Investment Support: Provide data-driven ROI analysis and business case validation to support the prioritization of new initiatives. * Process Ownership: Drive the evolution of financial processes, including budgeting, forecasting, and management reporting. * Analysis: Deep-dive into revenues, costs, and SaaS metrics (such as CAC, LTV, and ARR) to identify growth opportunities and risks. * Reporting: Prepare accurate monthly reports for the board and management that tell "the story behind the numbers". WHO YOU ARE We believe you are business-oriented, curious, and thrive in a fast-paced environment where you have the autonomy to tackle problems. Your Background & Skills: * Experience: 5+ years of experience in business controlling. * Education: Bachelor’s degree or higher in finance, engineering, or an equivalent field. * Financial Processes: Proven track-record of driving workflows in key financial processes such as budgeting and financial reporting.  * Financial Modeling: Proficiency in building sophisticated, automated, and error-proof models in Excel or Google Sheets. * AI and automation: Experience from improving processes through automation, for instance automating report creation through Claude or other AI tools.  * SaaS Acumen: A solid understanding of SaaS business mechanics and metrics. * Communication: Ability to package complex financial concepts into simple, persuasive narratives for non-financial stakeholders. * Data Interpretation: Skill in extracting meaningful insights from, sometimes, messy or incomplete data to solve open-ended business challenges. * Language: Professional fluency in English (Swedish is not required). Compensation At Mentimeter, we believe in fair and transparent compensation that grows with you. The salary range for this role is SEK 55,000–SEK 75,000 per month. It’s intentionally broad to reflect the different stages of growth within the role: from early development to deep expertise and meaningful impact. Where an individual is placed within the range depends on factors such as relevant experience, demonstrated skills, and alignment with the role’s requirements. We’re committed to supporting your growth. You’ll have ongoing development conversations with your manager, and your salary will evolve as you build skills and contribute to our mission. In addition to your monthly salary, we offer a comprehensive benefits package—learn more about it here: https://www.mentimeter.com/benefits/stockholm. What Mentimeter can offer At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance. All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page AI and Hiring at Mentimeter At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people. * AI does not screen or decide on candidates. *  There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person. * Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking. AI strengthens our work, but it does not define it. At Mentimeter, we’re not building an AI-driven hiring process - we’re building a people-first culture, where technology helps us listen, learn, and grow together. Culture at Mentimeter At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users. Learn more about our culture by visiting our Culture page. Review our Privacy Policy for more information.

Let us describe the challenge we offer We're currently looking for a Liquidity Manager to join our Treasury Operations & Liquidity Analysis team. In this role, you will be accountable for the overall cash flow health and liquidity position of both the Polestar Group and its individual legal entities. You will serve as the process owner for Group cash flow forecasting and reporting, ensuring transparency, accuracy, and actionable insights to support business decision-making. You will work closely with internal stakeholders and external partners to support liquidity management, cash flow analysis, and financial risk mitigation. This is a role for someone who values structure and accuracy, enjoys working with complex financial flows, and is motivated by improving financial performance through strong cash and liquidity management practices. This position is located at Polestar HQ in Gothenburg, Sweden. What You'll Do The Liquidity Manager owns the end-to-end cash flow forecasting process, including governance, templates, reporting frameworks, and forecast quality. The position drives cash visibility, improves working capital efficiency, minimizes tied-up capital, and leads cross-functional actions to resolve liquidity challenges. Acting as the key partner and escalation point for Polestar Sales Units (PSUs), the Liquidity Manager ensures robust cash flow management practices and supports informed decision-making across the organization. Liquidity & Cash Flow Management * Own and manage the liquidity position of the Polestar Group and all legal entities within the Group. * Ensure sufficient liquidity is available to support operational, strategic, and funding requirements. * Monitor short-, medium-, and long-term cash positions and proactively identify liquidity risks and opportunities. * Drive actions to improve overall cash flow health and resilience across the organization. * Develop and maintain liquidity management frameworks, including funding, cash concentration, and cash optimization strategies. * Define control procedures to secure there is no liquidity issues for the Polestar Group and all legal entities within the Group. * Lead the resolution of complex cash flow issues that require coordination among headquarters functions, business functions, and Polestar Sales Units. * Facilitate cross-functional discussions to identify root causes, remove barriers, and drive accountability. * Ensure timely execution of agreed actions and achievement of targeted outcomes. Cash Flow Forecasting * Own the end-to-end direct cash flow forecasting process across the Group. * Be accountable for the quality, accuracy, consolidation, and timely delivery of Group direct cash flow forecasts. * Define, maintain, and continuously improve forecasting methodologies, templates, timelines, and governance frameworks. * Drive forecast accuracy through standardized processes, variance analysis, and challenge of underlying assumptions. * Partner with FP&A, Controlling, Accounting, Regional CFOs, the Shared Service Center, and other business functions to ensure reliable and actionable forecasts. * Act as the escalation point for Polestar Sales Units (PSUs) on cash flow forecasting-related matters, ensuring timely resolution and alignment. Reporting & Cash Visibility * Own Group cash flow reporting and provide management with transparent and timely visibility of cash positions, forecast performance, and liquidity risks. * Implement and continuously enhance reporting frameworks that provide real-time visibility of cash and liquidity status across the Group. * Develop and maintain dashboards, KPIs, and management reports to support decision-making at both operational and executive levels. * Provide insightful analysis on liquidity trends, forecast deviations, working capital developments, and funding requirements. * Drive continuous improvements in reporting quality, automation, and process efficiency. Capital Efficiency * Drive initiatives to minimize tied-up capital and optimize working capital performance across the Group. * Identify structural performance gaps, develop business cases, define action plans, and coordinate cross-functional execution to achieve targeted KPI improvements. * Track, report, and validate the financial impact of improvement initiatives, ensuring sustainable benefits are embedded into business operations where applicable. * Monitor and report progress against cash flow and liquidity targets. Strategic KPI Improvement Initiatives * Identify opportunities to improve cash flow, liquidity, forecast accuracy, and working capital performance. * Lead and deliver one-time initiatives to drive measurable improvements in key cash flow, and liquidity KPIs. * Analyze performance gaps, define action plans, and coordinate cross-functional stakeholders to ensure successful implementation. * Track, validate, and communicate the impact of initiatives against agreed targets and KPIs. * Challenge existing processes and drive continuous improvement through best practices in cash management and forecasting. * Act as a catalyst for continuous improvement by identifying and delivering targeted actions to address underperforming areas. Who You Are To succeed in this role, and at Polestar in general, you'll need tenacity, flexibility, and curiosity. The ability to take initiative, meet deadlines, and adapt to changing priorities is essential. You are analytical and structured, with a strong understanding of liquidity and cash flow dynamics. You communicate effectively across functions and cultures, challenge the status quo when needed, and enjoy turning financial insights into tangible business actions. In addition, we believe you have these qualifications: * Bachelor's degree in Finance, Accounting, Economics, Business Administration, or a related field. * 7+ years of experience in Treasury, Liquidity Management, Corporate Finance, Cash Management, FP&A, or related disciplines. * Minimum 5 years of experience within the automotive industry. * Proven experience managing liquidity and cash flow forecasting in a multinational environment with multiple legal entities. * Strong expertise in cash flow forecasting, liquidity management, and working capital optimization. * Experience implementing reporting frameworks, dashboards, and performance management processes. * Demonstrated ability to lead cross-functional initiatives and influence stakeholders at all organizational levels. * Experience working with ERP and Treasury Management Systems. * Advanced analytical and financial modeling skills. * Good knowledge of cash pooling structures, in-house banking, FX risk management, and cash management processes is highly desirable. * Familiarity with banking platforms is advantageous. Polestar is an international company, with various backgrounds represented. English is the language of written and spoken communication. While we are global, we maintain a growth mindset. Change happens often at Polestar, but so does progress. Expect an accelerating and exciting environment. The process If the above matches your ambitions, be sure to apply. Due to the summer holiday period, our recruitment process is moving at a slower pace, and we may not be able to provide updates in the meantime. We look forward to getting back to you during August. The Polestar journey is an electric one.

At Lendo, we’re driven by a clear mission: to empower people to make smarter financial decisions. Our work directly impacts how users understand and navigate complex financial journeys, and we take that responsibility seriously. We build our success on a culture where we live by our core values: customer centric, win as a team, focus on execution, and always improve. We are convinced that it is diverse perspectives, differences, and a strong collective drive that allow us to continue evolving. We are always looking for colleagues who wants to grow together with us. About the role We are looking for a Data Scientist to drive business impact through machine learning. We have already created significant value from ML across several areas and see strong opportunities to apply it even more broadly, including marketing, conversion optimization, and operational decision-making. We are looking for a Data Scientist who has successfully created business impact with ML and is energized by delivering measurable results. What you will do Build, deploy, and improve machine learning models that drive measurable impact across domains such as marketing, conversion optimization, and operational efficiency. Design, analyze, and interpret experiments, causal analyses, and marketing mix models (MMM) to guide marketing investments. Be a trusted advisor within ML and partner with product, business, and engineering teams to translate problems into ML solutions. Ensure models deliver continuous business value. About you 3+ years of experience as a Data Scientist, with a track record of shopping models that created measurable business value. Strong modeling expertise with solid foundations in statistics and machine learning, and a clear understanding of when and how to apply different methods Experience designing and interpreting experiments and casual analyses Ability to work effectively with non-technical stakeholders.. Ability to take initiative and drive ML opportunities end-to-end, from problem framing to deployment and measurable business impact. Strong Python programming skills and comfort working in production environments. We believe great people do their best work when they’re trusted. That’s why we offer high autonomy, real ownership and clear accountability. You’ll help create measurable business impact through machine learning in a core growth area, while collaborating with a strong, supportive Data & ML team that values well-being, technical excellence and continuous improvement. You’ll work with a modern tech stack, including production ML systems and generative AI tools, supported by competitive compensation and a flexible hybrid setup. About the recruitment process As part of our recruitment process, we use psychometric testing through HI Assessments. We also perform a mandatory background check on all final candidates. We will always inform you as a candidate before the check is carried out. We look forward to your application!

TL;DR → You own the data layer, ingestion, transformation, and modeling that makes analytics, reporting and AI possible. → Consultant role across the Nordics, with clients spanning industries from financial services to manufacturing. → You work in cross functional delivery teams alongside Platform, Analytics and GenAI Developers, each owning a distinct layer of the stack. → Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way. What you'll do As a Data Engineer, you’ll be building the data platforms that everything else depends on. From raw source systems to production-ready models consumed by analysts, ML pipelines, and business users. You own the path data takes to become useful. The work is hands-on Python and SQL, heavy on PySpark, and grounded in Kimball modeling and lakehouse architecture. You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. You'll work in cross-functional delivery teams alongside platform engineers and AI developers, each owning a distinct layer of the stack. A few examples of what this looks like in practice: Building a Kafka-based ingestion framework for a major insurance group, onboarding several thousand tables at scale so multiple downstream teams can actually use the data they need. Lifting an on-prem data warehouse into a cloud-based Databricks lakehouse for a Nordic logistics company, standing up CI/CD, integration, modeling, and quality assurance, then scaling for new use cases. Auditing a manufacturing company's data platform against best practices, delivering a migration plan, then staying on to bring in new sources, optimize workflows, and build out analytics models. The bar for what "done" means here is high: production-grade, observable, secure and used. What you get Assignments that accelerate you. Every 6–18 months you're in a new engagement. New industry, new architecture decisions, new stakeholders to earn trust from. You'll face more distinct technical challenges in two years here than most engineers see in five. Work that's hard to come by elsewhere. Modern data platforms underpinning enterprise AI is one of the most technically demanding spaces right now. The problems here aren't solved yet, and you'll be among the people solving them. Your direction, your call. Want to go deep technically, specialise in Databricks and Spark engineering, platform foundations or analytics engineering? Go for it. Want to grow toward Tech Lead or Solution Architect, steering delivery and building long-term client relationships? Also go for it. Both paths are real and equally valued. People who make you better. The people here are genuinely passionate about technology, not as a job, but as something they care about. Engineers who go deep because they want to, follow the space obsessively, and get restless when things stop moving. That's what keeps Redeploy consistently ahead, and it's what you'll feel from day one. The Perks. 30 days vacation · hybrid work and flexible hours · private medical insurance · pension (ITP1) · wellness allowance 5,000 SEK · free choice of tools and tech · free breakfast, soda and snacks · yearly gatherings and AW's · a team with genuine interests outside work — gaming, food, running, padel, golf, football, cycling Who you are You take ownership, hold yourself to a high standard, and bring real opinions to the table. You communicate clearly with both technical and non-technical stakeholders, and you're energised by the consulting pace, new challenges, new contexts, and the pressure to deliver. We care more about how you think, build and collaborate than whether your background ticks every box. Maybe you come from software development and want to move closer to data. Maybe you've never worked in consulting but you're curious about the variety it brings. Humble enough to play for the team, sharp enough to push back when it matters. What you bring A background in Computer Science, IT, Engineering or equivalent university degree Strong programming skills in Python, with solid experience in SQL and Spark, and a sound understanding of software engineering principles Experience with cloud-based data solutions (Azure preferred, but AWS is also highly relevant) Solid understanding of data structures, modeling and processing Familiarity with data architectures like Lakehouse and Medallion AI-assisted development (you actively use tools like Claude Code, Codex, or similar in your daily work) Strong plus: Databricks or Microsoft Fabric, CI/CD pipelines for data, data governance, graph databases, prior consulting experience, Swedish language skills About Redeploy Redeploy is where cloud, data, and AI come together in production. We help Nordic enterprises design, build, and operate modern tech platforms and AI solutions that are secure, scalable, and production-ready. Engineers at heart, we work hands-on across Azure, AWS, and Databricks from strategy to operations.

TL;DR - We're looking for an Analytics Engineer to own the data foundation that powers financial reporting and analysis at Lovable. You'll build the models that connect billing, subscriptions, and revenue data to ensure Finance has accurate, auditable data for reporting, forecasting, and decision-making. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we are looking for Familiarity with subscription/SaaS metrics (MRR, ARR, churn, LTV, cohort analysis) Experience working with billing and payment data (Stripe, Chargebee, or similar) Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs) Understanding of dimensional modeling, data contracts, and metrics/semantical layers. Hands-on experience with data transformation tools (SQLMesh, dbt, or similar) Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc) Attention to detail and understanding of why accuracy matters for financial data What you will do Build and maintain dimensional models (SQLMesh) for revenue recognition, subscription metrics, and financial reporting Create foundational tables for MRR/ARR, churn, expansion, contraction, and cohort-based revenue analysis Manage ingestion pipelines for financial data sources (Stripe, billing systems, payment processors) Reconcile data across systems to ensure accuracy between source of truth and reporting layers Define and document business logic for financial metrics (recognized revenue, deferred revenue, bookings) Monitor data quality and implement validation checks for financial data integrity Partner with Finance to translate reporting requirements into reliable, well-structured data models Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform) And always on the lookout for what's next! How we hire Fill in a short form then jump on an intro call with recruiter. Complete the general programming exercise. Show us how you approach problems during several technical interviews. Tell us about your most impressive project. About your application Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join We treat all candidates equally - if you’re interested please apply through our careers portal

Note: if you are an intern or new grad applicant, please do not apply using this link and visit our jobs page for those specific postings. WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE ORGANIZATION  Money as a Service (MaaS) oversees a diverse portfolio of Stripe's core products and platforms. These offerings facilitate the global movement and management of funds for users. The teams that fall under the MaaS umbrella include: Accounts and Connect, Money Movement and Storage (MMS), Crypto and Banking as a Service (BaaS). Together, these teams work to ensure Stripe users have the robust financial infrastructure and tools they need to power their businesses on a global scale. Team Matching: exact team matching for one of the sub-teams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.  WHAT YOU’LL DO We’re looking for Full Stack engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they’re an end user, developer, or partner. RESPONSIBILITIES * Build end-to-end experiences for Connect that make it as easy as possible to participate in the Internet economy and receive money online. Some of Stripe’s largest users are platforms that connect senders of payments with receivers of payments. Lyft connects riders to drivers, Kickstarter connects backers to projects, and Squarespace connects shoppers to online stores. All of them participate in doing business online, and all of them use Connect. * Make it easy for Connect platforms to scale their business through leveraging the full power of Stripe’s products via the dashboard, adding to their business models and product functionality while reducing integration lift and complexity. * Build great product experiences (integrate with Instant Payouts, Issuing, Capital, Terminal, etc) into all of Connect’s dashboard surfaces. WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 2-12+ years of industry software engineering experience (does not include internships or co-ops). * You enjoy data modeling challenges and have a high bar for keeping your solutions expressive yet simple to use. * Excellent written and verbal communication. * Enjoy being a generalist working on both the frontend, backend, and anything it takes to solve problems and delight users both internally and externally. * Thrive in a collaborative environment involving different stakeholders and subject matter experts. * Take pride in working on projects to successful completion involving a wide variety of technologies and systems. * Can stitch together many different services and processes together even if you have not worked with them before. * Can put yourself in the shoes of your users and be a steward of crafting great experiences. * Enjoy working with a diverse group of people with different expertise. * Uphold best practices in engineering, security, and design. PREFERRED QUALIFICATIONS * Experience working in high-growth teams similar to Stripe. * Experience building financial systems or tools for financial experts.

TL;DR: You'll be the analytical engine behind Lovable's fastest-moving finance decisions. Working directly with the team that built our financial infrastructure from scratch, you'll model vendor economics, build scenario analyses, reconcile messy data into clean insights, and give our leadership the numbers they need to move fast and move right. This is not a back-office role. You'll be in the room where the decisions happen. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for In one sentence: Build the models, pull the data, and surface the insights that drive Lovable's most consequential financial decisions. Own the analytical heavy lifting: Build and maintain financial models across vendor economics, unit cost attribution, scenario planning, and investment tradeoffs. You'll be the person who turns ambiguous data into something our team can act on. Drive vendor and cost intelligence: We spend a significant portion of our operating expenses annually across LLM providers, cloud infrastructure, and SaaS tools. You'll model the commercial economics, track spend against commitments, and flag opportunities before they become problems. Support strategic finance across the business: From headcount planning to revenue modeling to partnership economics, you'll provide analytical leverage wherever the highest-priority question is. One week it's an LLM cost attribution model. The next it's a pricing scenario for a new revenue stream. Context-switching is the job. Reconcile the chaos: Lovable moves fast and the data doesn't always keep up. You'll dig into billing data, accounting records, and operational metrics to find the truth in the noise. Investigative rigor is non-negotiable. Build for an AI-native function: We don't do things the old way. You'll use AI tools aggressively to accelerate your own work and help us design the finance function of the future. About you 1-3 years of experience: In investment banking, management consulting, private equity, or operational finance at a high-growth company. You’ve built strong analytical foundations and you’re ready to apply them to building something real. Exceptional modeler: You can build a financial model from a blank sheet and a messy data set. Excel and Google Sheets are second nature. SQL or BI tools (Hex, Looker, etc.) are a strong plus. Comfortable in chaos: You don't freeze when the data is incomplete, the timeline is tight, and the question keeps changing. You've worked in environments where "figure it out" is the brief. AI-native mindset: You use AI tools daily, not as a novelty but as core workflow. You're the person who finds a way to automate the tedious part before anyone asks you to. Hungry, not entitled: You understand that in-house finance is not high finance. You're not the product here — the product is. You bring the rigor from your training but you're energized by getting your hands dirty, not by the prestige of where you sit. Bonus points for: experience with SaaS or usage-based business models, exposure to cloud/LLM cost structures, or having built something yourself (side project, startup, Lovable app — anything that shows builder instinct). About your application Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested, please apply through our careers portal.

Nordnet is redefining the landscape of savings and investments, guiding over 2.4 million customers in their financial lives. We have spent the last years building a modern data platform and fostering a culture where actionable insights and rapid product refinement are part of our DNA. In our fast-paced environment, this remains a competitive edge - allowing us to ship, learn, and iterate faster than the market Now we are seeking to engage a passionate Data Analyst to join our team. As a Data Analyst at Nordnet, you will be a part of Data & Insights, where you have the opportunity to work alongside Data analysts, Data Scientists, Analytics Engineers and Data Engineers. You will be embedded in our Product development teams, where you will be an integral component, working with designers, product leads and developers. You will deep-dive into our users and our products, and turn data into actionable insights. Our efforts are focused on continuous improvements, experimentation and engaging our customers. We would love it if you feel excited about at least some of these statements. Going beyond a simple questions, defining a problem and understanding the right analytical approach Conduct statistical analyses on our customer -, financial -, and company data to identify patterns of behaviour Design experiments to evaluate various hypotheses and design choices Utilize AI and advanced modeling to scale your impact Craft and present compelling stories that will impact our decision makers Help improve our existing methodologies This is you You are passionate about data and learning new things, and you want to contribute with your experience and ideas. In your work, you are organised, methodical and agile in a way that benefits the team’s working climate and ability to deliver solutions. To thrive in this role, we believe that most of these criteria describes you: Proactive person with self-drive and strong sense of ownership A strong communicator with the ability to engage both technical and non-technical stakeholders Experience of using SQL, Python, R and dbt Hands-on experience with A/B testing Degree in economics, data science, statistics, engineering, mathematics, or similar We think that you have 3+ years experience working as a Data Analyst at a product oriented organisation. We offer Nordnet started from a passionate belief that changing the hierarchical financial world was possible. We became part of redefining the industry when we gave the customers power over their own savings. You will become part of a journey that has only yet started towards the vision of making our customers the best investors they can be. To be leading in Tech is pivotal for that journey and you will work with colleagues who have a great passion for that goal. We have 900+ employees in Stockholm, Oslo, Helsinki and Copenhagen. We cooperate, exchange ideas and use our core competencies in order to continuously improve the way we meet our customers. Open communication, creativity and engagement are important parts of our everyday life at the office. Visit us on www.nordnetab.com,www.nordnet.se, www.nordnet.no, www.nordnet.dk and www.nordnet.fi. Application We will start interviewing immediately. Please note that we do only accept applications through our recruitment system, hence no email applications will be considered. We want to inform you that Nordnet conducts credit and background checks on the final candidate. We look forward to receiving your application!

Job ID: 5841 (Senior) Risk Expert (Climate Risk), Risk Models (permanent position) We are looking for a (Senior) Risk Expert to develop quantitative methodologies that integrate climate and environmental (C&E) risks into our internal models and risk framework About our team Meet the Risk Models team. Our team is part of Nordea's Risk division, where we work at the intersection of credit risk modeling, econometrics, and ESG scenario analysis, contributing to the design, implementation, and validation of ESG-driven modelling approaches. Collaboration. Ownership. Passion. Courage. These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us. What you’ll be doing Main responsibilities in this role: Contribute to the development and implementation of quantitative models integrating climate and ESG risk drivers into IRB and other credit risk models (PD, LGD). Emerging risks may be added to the scope of risks. Perform statistical and econometric analyses, including scenario-based approaches, to assess the impact of ESG factors on credit risk parameters. Conduct quantitative data analysis, including assessing the financial impact of model and data changes. Develop and maintain Python-based modelling tools and analytical code, including prototyping and validation workflows. Support the identification of ESG transmission mechanisms and translate them into modelling assumptions and inputs. Contribute to defining ESG data requirements and integrating external datasets into modelling frameworks. Stay informed on developments in ESG risk modelling and regulatory expectations (ECB, EBA, NGFS) and support their implementation. Contribute to model documentation and validation deliverables required for internal and supervisory review. Who you are Your background and skills include: Experience in quantitative modelling (junior to senior level; ~2–10 years depending on role level). Strong background in statistics and econometrics, including model estimation and data analysis. Programming experience (Python required), ideally with experience in building modelling tools or libraries. Understanding of credit risk modelling concepts (PD, LGD); IRB experience is an advantage. Exposure to or interest in: ESG / climate risk modelling. Scenario analysis or stress testing. Macroeconomic modelling or transmission channels. Degree (Master’s or PhD) in econometrics, mathematics, statistics, physics, finance, computer science, or similar quantitative field. It would be ideal if you also: Experience with IRB models or regulatory frameworks. Experience working with large datasets and data pipelines. Prior exposure to climate or ESG-related modelling topics. What differentiates this role: Direct involvement in hands-on quantitative modelling, not limited to governance or coordination activities. Opportunity to contribute to emerging ESG risk quantification methodologies, including scenario design and risk transmission modelling. Work in a high-impact area under active regulatory scrutiny, with exposure to both modelling and regulatory perspectives. What we offer People come here when they want to get somewhere. For some, it’s to take their career to the next level. For others, it’s to break new ground within their area of expertise – in other words, with us, you will always move forward. A culture that fosters performance and growth in one of the largest Nordic banks, offering various opportunities to evolve, develop and learn from brilliant colleagues with diverse backgrounds in a vibrant working environment. Hybrid working model – we believe in the value of bringing people together and at the same time we embrace the freedom of flexibility. Diversity and inclusion are a natural part of our daily work. We know that an inclusive workplace is a sustainable one. We genuinely believe that our diverse backgrounds, experiences, characteristics and traits make us stronger together. Every day we strive to find new ways to improve diversity and inclusion within our community e.g. we have signed the European Diversity Charters in the countries where we operate to show our commitment and engage with others to continue learning and improving. If this sounds like you, get in touch! Next steps Submit your application no later than 06/08/2026. We enable dreams and aspirations for a greater good. We build relationships. We add a personal touch to everything we do – when advising our customers, collaborating with colleagues, and meeting our potential candidates. We learn and develop. We take pride in being experts and thinking ahead. We use our expertise to meet our customers’ needs, from the simplest to the most complex. We bring a growth mindset to our work that enables us to focus on a broader perspective in our daily challenges. We lead change. We are responsible and aware of the impact of our decisions, both for our customers and for our local and global communities. Mindful of our responsibility towards current and future generations, we have made sustainability an integrated part of our business strategy. We are Nordea. We have a 200-year history of supporting and growing the Nordic economies and our values are deeply rooted in these open, progressive and collaborative societies. As one of the biggest employers in the Nordics, Poland and Estonia, you have excellent opportunities to evolve, develop and move forward with us. For union information, please contact Finansförbundet at finansforbundet@nordea.se or SACO at SacoNordea@nordea.com.

About the job Cryogenic Engineer Are you the engaged Cryogenic Engineer who will drive the next generation of SCALINQ's quantum hardware? You will together with the team develop the full cryogenic hardware lifecycle—from simulation to experimental testing. You'll solve complex challenges in low-temperature physics and provide the critical simulation feedback that shapes our technology roadmap. Join us to make a direct impact on the future of quantum technology! Required Skills: Fundamental understanding of low-temperature physics and cryogenic systems. Good experience with SolidWorks Thermal, COMSOL Multiphysics or a similar thermal simulation software. Advanced skills in Python or MATLAB for data handling, analysis, and model automation. Ability to participate in experimental testing towards verification of simulation. Ability to use simulation results to guide hardware development. Ability to troubleshoot system issues in collaboration with design and test teams. Team player who initiates a collaborative environment. A drive to stay updated on the latest advancements in relevant technologies and computational modeling techniques and applying solutions across fields. Excellent communication skills, with the ability to present complex data clearly. A M.S. in a relevant field (e.g., Physics, Materials Science, Electrical engineering, Mechanical Engineering) or equivalent experience in a technical simulation role.  Preferable Skills (Good to Have): Ability to design experiments towards verification of simulation results. Practical, hands-on experience with cryogenic refrigerators. Experience with CAD software (e.g., SolidWorks, Inventor, Ansys). Familiarity with the challenges of integrating RF/microwave components in cryogenic environments. A startup mentality: Thrives in a fast-paced growing environment, is adaptable to changing priorities, and takes initiative to solve problems About us: SCALINQ is a prominent player in the growing field of quantum computing. Our core focus is the development of state-of-the-art cryogenic hardware. All our products are classified as enabling hardware and are vital for the overall performance of a quantum computer. This could be your opportunity to play a key role in unlocking the full potential of a new tech era while structuring the financial backbone of the company. The Team: At SCALINQ, diversity and inclusion are at the core of who we are. Our greatest strength lies in the people who shape our company, each contributing their unique skills and perspectives. Together, we blend cutting-edge research expertise with traditional engineering practices to develop innovative and commercially viable solutions. Joining our team means being part of a dynamic environment where every contribution matters. Be part of a dynamic environment where your ideas and contributions truly make a difference. What we offer: At SCALINQ, you’ll join a fast-moving, multicultural team at the forefront of a cutting-edge industry. We offer healthcare benefits, continuous learning opportunities, and an inspiring, modern workspace built for collaboration and innovation. This is a place where driven individuals thrive where you’re empowered to grow, take initiative, and explore new directions, all while working toward shared goals. Here, you have the opportunity to be truly smart to think critically, solve complex problems, and make a real impact. Whether you choose to specialize or broaden your expertise, you’ll have the freedom to shape your path and contribute to something bigger. In a rapidly changing world, we move with purposeand we’re looking for others who do too. Ready to push boundaries with us? Let’s go! Join Us: If you think it sounds like fun please, apply by sending your resume and a cover letter. Mark your application with CRYO.

Department of Forest Bioeconomy and Technology We are seeking an engaged and motivated Postdoctoral Researcher to join an interdisciplinary research collaboration between the Swedish University of Agricultural Sciences (SLU), Umeå University, and the University of Massachusetts. As Sweden and the EU work towards ambitious biodiversity and ecosystem restoration goals, understanding the human dimensions of forest management is increasingly important. This position offers a unique opportunity to contribute to research at the intersection of psychology, economics, and forestry, helping to inform decisions towards more resilient forest landscapes. The complete advertisement is available at: https://www.slu.se/en/about-slu/work-at-slu/jobs-and-vacancies/ About the position The EU Nature Restoration Law and Sweden’s environmental quality goals stipulate societal demands for more biodiverse landscapes. In Sweden, some 300,000 individuals and families own about 50% of the forestland that spans across two-thirds of the country. These family forest owners will need to undertake the preponderance of actions for creating more biodiverse forests in Sweden. In an interdisciplinary project funded by the Marianne and Marcus Wallenberg Foundation, we pose three specific research questions: What salient elements in cognitive models represent family forest owners’ perceptions and judgement strategies about forest biodiversity on their ownerships? Do family forest owners have the capability, opportunity and motivation to change towards biodiversity-enhancing forest management behaviors? Can interventions providing financial compensation encourage family forest owners’ change toward adopting biodiversity-enhancing forest management behaviors? To help answer these questions, we seek to recruit a postdoctoral researcher to join researchers in applied economics, psychology, and forestry. The candidate will support the integration of behavioral science principles and natural resource management knowledge into relevant research designs; developing research questions; applying appropriate analytical methods; and writing scientific manuscripts. This is a two-year full-time post. A specific task is the development of protocols to engage in interviews with family forest owners, support data collection, and lead analyses.  The workplace is the SLU campus in Umeå. Your profile An eligible candidate should hold a Ph.D. obtained within the last three years in a relevant field (e.g. applied economics, cognitive sciences, psychology), or a strong interdisciplinary program. In exceptional circumstances, the degree may have been obtained earlier. Exceptional circumstances include leave of absence due to illness, parental leave, positions of trust within trade unions, service in the armed forces, or other similar circumstances, as well as clinical service or service/assignments relevant to the subject area. Applicants are expected to demonstrate excellent communication skills in English, both written and spoken, and a clear motivation to pursue an academic career. The ability to work independently, show initiative, and collaborate effectively in interdisciplinary and international research environments is essential. Additional merits include demonstrated ability to integrate behavioral concepts into decision-making research, experience in writing scientific manuscripts, and advanced, documented proficiency in R, Stata, or similar analytical software used for modeling. Further advantages include working knowledge of Swedish and experience in conducting surveys and/or interviews as data collection methods. About us The Department of Forest Bioeconomy and Technology at SLU brings together broad expertise in engineering, natural sciences and social sciences. By integrating interdisciplinary perspectives, we conduct research spanning the entire forest value chain, and explore how raw materials, materials, processes, and systems can be developed to contribute to the sustainable development of forest resources and a circular bioeconomy. The Department is located on campuses in both Umeå and Uppsala. For more information about the department or division visit: https://www.slu.se/om-slu/organisation/institutioner/skoglig-bioekonomi-och-teknologi/?gad_source=1&gad_campaignid=21086656031&gclid=EAIaIQobChMIwMj3yOmalQMVdluRBR3n7yxAEAAYASAAEgKD_fD_BwE Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Umeå, Sweden.  Form of employment: Temporary employment 24 months. Scope: 100% Start date: As soon as possible, negotiable, upon agreement. Application: We welcome applications until 30 September 2026 using the button below. Candidates are encouraged to review research by Francisco X. Aguilar, Professor (available https://www.slu.se/en/profilepages/c/francisco-aguilar/ and on https://scholar.google.com/citations?user=GD4lKi8AAAAJ&hl=en), and coinvestigator Linus Andersson, Associate Professor, Docent (available https://www.umu.se/personal/linus-andersson/ and on https://scholar.google.se/citations?user=TzmSEKsAAAAJ&hl=sv&oi=sra). Please read an overview of the project available https://mmw.wallenberg.org/en/project/how-private-forest-owners-choices-shape-swedens-forest-biodiversity before applying. Applicants must submit: a CV a two-page research statement describing how the candidate can be an integral part of the team answering the three specific research questions copies of degrees and transcripts of all academic records contact information for at least two referees familiar with the applicant's qualifications certified knowledge of the English language, and current knowledge of the Swedish language if relevant, copies of scholarly publications. Final selection will be conducted after an interview. By the time of the interview, shortlisted applicants shall provide certified true copies of certificates, diplomas and transcripts from previous studies at an internationally recognized higher education institution (university or university college) and transcripts. If the applicant is a foreign citizen, SLU requires a certified copy of the passport page disclosing personal data and photograph. Union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/

At Qred, we’re building the world's best bank for small businesses. Since launching 11 years ago, we’ve grown from startup to profitable fintech scale-up, now generating over 1 billion SEK in annual revenue and supporting 50,000+ entrepreneurs across Northern Europe. We combine smart technology, real data, and human judgment to make financing simple, fast, and fair. With bold growth plans and strong momentum across multiple markets, we’re now looking for a Senior Credit Analyst for the next phase of growth. About the Role You will own the data strategy that drives our pre-collections policies, third-party collections performance, and Non-Performing Loan (NPL) divestments. This mission bridges the gap between technical execution and business impact by moving beyond operational reporting to directly influence our Loss Given Default (LGD) metrics. You will have end-to-end ownership of the data ecosystem that maximizes portfolio recovery value in close collaboration with our Finance and Credit Policy teams. Key responsibilities Design and implement robust champion/challenger A/B testing frameworks to evaluate the recovery performance of third-party collection agencies. Analyze early-stage delinquency data to refine pre-collections policies and prevent roll-rates into deeper delinquency segments. Build quantitative data models to evaluate the pricing, segmentation, and optimal timing for NPL forward-flow and spot sales. Partner with the Credit Policy team to integrate downstream collections insights into automated early underwriting decisions. Establish standardized data exchange processes, governance frameworks, and performance KPIs with external collection parties and vendors. What we’re looking for We are looking for a data-driven specialist with a highly structured approach to optimizing financial systems. You have a proven ability to drive alignment across cross-functional teams and external vendors, translating complex analysis into actionable strategic narratives. You are motivated to build scalable frameworks that directly protect bottom-line performance in a fast-paced fintech environment. Qualifications Several years of experience working with credit risk, collections analytics, or portfolio management within Fintech or Banking. Expert-level technical capability in SQL for data mining and structuring complex datasets from scratch. Experience building automated data visualization dashboards, preferably using Amazon QuickSight, Tableau, or PowerBI. Background in analyzing financial metrics such as Loss Given Default (LGD) and NPL portfolio valuation. It’s a plus if you have experience with Python for predictive modeling, statistical analysis, and automating data pipelines. Why Qred? This is the place to be if you’re looking for a place to grow. Qred is growing fast, and our Qredsters along with it. With a non-bureaucratic organization and delegated responsibilities, we make sure there’s a short path from idea to action. In addition to our great culture, you get to work with the latest cutting-edge techniques, full ownership, and last but not least a bunch of great competent colleagues to learn from! One Last Thing This is a full-time, permanent position based in our headquarters in Stockholm. We believe our culture thrives when we work together, which is why we have an office-first approach. To balance this with some flexibility, we have the option of working remotely one day per week. We review applications on a rolling basis and while the start date is flexible, the right candidate can join us immediately. Qred celebrates diversity and does not discriminate based on ethnicity, religion, national origin, gender, sexual orientation, age, disability status, or any other applicable characteristics protected by law. #LI-Hybrid #LI-Remote #LI-Onsite