
9fin · London
About 9fin 9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mi...
About 9fin
9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion.
Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces
this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value
workflows across global markets.
Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms,
law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention
driven by deep workflow adoption.
We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward
becoming the category-defining platform for debt markets worldwide.
You'll be embedded with our marketing team, turning campaign, web and funnel data into the decisions that drive demand and
pipeline. Sitting within the analytics team alongside our analysts and analytics engineers, you'll own marketing analytics
end-to-end, from instrumentation through to the insight that shapes where we spend.
marketing, sales and leadership trust the same numbers.
actually drive pipeline and revenue.
scale, and what to stop.
and bookings, in partnership with our GTM/RevOps analytics.
Analytics and Amplitude, and own the Omni semantic layer so the team gets self-serve answers as we migrate off Metabase.
and keep marketing and sales numbers aligned, trustworthy and GDPR-compliant.
recommendations.
analysis that drives spend and prioritisation decisions.
You're a senior, hands-on individual contributor with real technical depth who thrives on turning marketing and funnel data into
decisions that move pipeline and revenue.
docs.
Thoughtspot).
analytics.
separate signal from noise.
We’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We
also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.
Financial & Insurance
Time off
Training & Culture
9fin is an equal opportunities employer
At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential
and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited
about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might
just be who we’re looking for — either for this role, or perhaps another.
Senior Consultant/Analyst Data Science & Marketing Effectiveness - 2026 Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we’ve been helping businesses optimise marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, ESG & sustainability. With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services. We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world’s most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA. Your responsibilities As a Senior Analyst specialising in Data Science & Marketing Effectiveness, you will lead the delivery of high-impact MMM programmes for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will manage small teams, oversee end-to-end project delivery, and ensure actionable insights are delivered to clients. Lead Projects · Lead end-to-end MMM and marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation. · Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data · Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely delivery. · Build dashboards and visualisation tools to communicate actionable insights using proprietary Ekimetrics frameworks and best practices. · Translate complex analytics into clear, business-oriented recommendations for senior stakeholders and C-suite clients. · Support clients in optimising marketing spend, understanding campaign performance, improving customer segmentation, and maximising ROI. Client & Account Management · Serve as the day-to-day operational contact for clients, building trustful relationships and proactively identifying growth opportunities. · Present findings, recommendations, and actionable insights in client-facing workshops and executive presentations. · Collaborate closely with managers and partners to develop proposals for new or expanded work, aligned with Ekimetrics’ commercial offerings. People & Project Leadership · Lead teams of 3–10 colleagues across multiple projects, ensuring high-quality delivery, client satisfaction, and profitability. · Mentor and develop junior team members, strengthening technical, analytical, and client-facing competencies. · Share best practices and contribute to internal knowledge management initiatives. Practice & Business Growth · Identify opportunities for account growth and contribute to development with existing and prospective clients · Act as an ambassador of Eki culture by supporting transversal initiatives (e.g., Thought Leadership, Knowledge Management, Recruitment and Innovation. · Champion and role-model our core values: Curiosity, Creativity, Excellence, Transmission, Pleasure Your profile Experience & Technical Skills · Strong 3–4 years’ experience in marketing effectiveness/MMM and analytics/data science · Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. · Strong proficiency in Python, R, SQL, or similar tools. · Experience with Databricks, Azure, or other cloud/data platforms is a plus. · Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques. · Experience translating data and model outputs into actionable business recommendations. · Comfortable handling large datasets, optimizing data pipelines, and delivering high-quality outputs Leadership & Client-Facing Skills · Excellent communication and storytelling skills for senior stakeholders · Demonstrated ability to lead multiple project teams and manage priorities with autonomy · Strong strategic thinking, problem-solving mindset, and drive for continuous improvement · Supportive team player with a passion for talent development, coaching, and enabling team growth · Ability to contribute to impactful thought leadership and forward-thinking perspectives on measurement and marketing effectiveness. Why join us? At Ekimetrics, your ideas truly matter. We embrace an entrepreneurial spirit, encouraging you to push boundaries while thriving in a collaborative environment. We believe in enjoying what we do and fostering a safe, inclusive space where you can bring your authentic self. In 2023, Ekimetrics obtained “mission-driven company” status, reflecting our commitment to CSR. Our purpose: Accelerate organisations’ transformation towards sustainability through data science and AI. We are proud to have been certified Great Place to Work© in France, the UK, and the US, with our Hong Kong office recognised as Best Companies to Work for in Asia 2023©. Ekimetrics is also part of the French Tech 120, selected among the top French scale-ups with potential for international leadership. Career development and growth opportunities · Lead projects and develop advanced analytical and client-facing skills. · Structured career progression from Senior Analyst, Manager, Senior Manager and beyond. · Access to Eki.Academy, including solution-specific training, Climate School courses, and career development programs. · Exposure to international clients, multiple industries, and high-impact projects. You will have access to : · Salary £60,000-£75,000 + Bonus 10% + Corporate bonus · Regular events and seminars to connect with colleagues · Modern office space in a central London location · Flexible hybrid working policy (2 days a week in office + 20 days’ work from anywhere, remotely) · 25 days annual leave + bank holidays, plus an additional 3 days for tenure · Private healthcare, life insurance, and wellbeing support · Group pension scheme · Opportunities for international mobility and career development As an employer, Ekimetrics offers equal employment opportunities to all, regardless of gender, ethnicity, religion, sexual orientation, social status, disability, or age. Ekimetrics strives to develop an inclusive work environment that reflects diversity within its teams.
About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com [wppmedia.com]. 3106 - Senior Data Governance Analyst - UK Role Summary and Impact The MFG team is seeking an experienced and proactive Senior Data Governance Analyst to join our global Data Governance team. This pivotal role will be responsible for driving quality assurance oversight on critical business processes where data is collected, stored, transformed, or used. You will take ownership of identifying, analyzing, and resolving complex data quality issues, leading coordination efforts with internal and external teams. As a Senior Analyst, you will also independently manage and contribute significantly to strategic Data Governance initiatives, helping to define and implement best practices across the organization. Some of the things we'd like you to do: * Lead the end-to-end delivery of weekly dashboards that evaluate datasets for quality and accuracy, providing actionable insights and recommendations to stakeholders. * Actively assist and contribute to the development efforts in building and enhancing dashboards that evaluate datasets for quality and accuracy. * Drive and oversee data cleansing efforts, including the identification, assessment, and proactive resolution of complex and systemic data quality issues. * Engage with stakeholders and the internal Data Governance team to proactively address root causes of poor data quality and recommend sustainable improvements. * Independently execute and manage business-as-usual (BAU) tasks derived from ongoing Data Governance projects, ensuring operational excellence and continuous improvement. * Act as a primary point of contact and trusted data expert, collaborating closely with cross-functional stakeholders to troubleshoot intricate data quality errors and facilitate timely, robust issue resolution. * Develop and implement frameworks to continuously monitor and report on the progress of data quality improvements, translating metrics into strategic insights and identifying trends. * Proactively identify areas for process and tool enhancement, leading the development and implementation of innovative solutions to significantly uplift overall data quality, efficiency, and scalability. * Champion the importance of data excellence and actively engage cross-discipline teams to uplift data literacy across the business. * Develop, document, and enforce comprehensive data processes, standards, and policies to foster a robust culture of data excellence and compliance. * Take ownership of key components of internal or client projects and drive them to completion. * Lead and actively contribute to various Data Governance projects and initiatives (such as Data Quality Stewardship and Taxonomy), taking responsibility for specific workstreams or deliverables as required. * When necessary, draft client communications and presentations for internal review before distribution. Skills and Experience Required * Progressive experience in a data analysis, data quality, or data governance role, ideally within a complex data environment. * Strong command of written and spoken English * Strong, independent problem-solving skills, coupled with a highly methodical and analytical approach to complex data challenges. * Exceptional attention to detail and a meticulous approach to work, consistently ensuring data accuracy, reliability, and completeness * Advanced fluency in SQL and Python, or similar programming languages, for complex data manipulation, modelling, automation, and analysis * Proficiency with Google Cloud Platform, etc. * Ability to work effectively and independently, including managing tasks across staggered time zones * Expert proficiency in Google Sheets and/or Excel, especially with macros, AppScript, VBA, etc. * Proven experience with data quality, data governance, or data hygiene practices, demonstrating a deep understanding of data lifecycle management. Desired * Previous experience working with a media agency, consultancy, martech company, or similar * Basic project management skills (e.g., how to use JIRA or similar tools, task prioritization, agile) * Experience with various BI/visualization tools such as Looker, Data Studio, Tableau, or similar platforms * Prior experience mentoring junior analysts or leading small data-focused initiatives with limited supervision * Previous exposure to ETL tools such as dbt and GitLab * Exposure to writing prompts and interpreting responses from Large Language Models (LLMs) for data-related tasks Life at WPP Media & Benefits Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising. We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Please note that while our philosophy is the same across WPP, benefits may vary by office/country. Please note this is a UK based role and requires individuals to have the right to work in this location Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) [https://www.wppmedia.com/pages/privacy-policy] for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted. #LI-Promoted Please read our Privacy Notice [https://www.wppmedia.com/pages/privacy-policy#:~:text=WPP%20Media%20Privacy%20Notice%20for%20Recruitment] for more information on how we process the information you provide.
ABOUT LENDABLE Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: * One of the UK’s newest unicorns with a team of just over 700 people * Among the fastest-growing tech companies in the UK * Profitable since 2017 * Backed by top investors including Balderton Capital and Goldman Sachs * Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. JOIN US IF YOU WANT TO 1. Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo 3. Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting ABOUT THE ROLE Lendable is revolutionising the credit card industry by making financial tools accessible, intuitive, and empowering. Zable is a Mobile-App first credit card that empowers customers to build their credit score while meeting their spending and borrowing needs sustainably. We’re looking for an analytical, commercially-minded Senior Strategy Analyst to help us grow and scale the product exponentially. This is a dynamic role where you’ll tackle high impact business problems across a number of disciplines including pricing, financial forecasting, growth, credit risk, new product development and product analytics. You’ll help us solve our most complex multi-dimensional challenges, working cross-functionally to deliver insight-driven strategies that optimise performance, drive responsible growth, and put the customer at the heart of decision-making. You’ll operate in a fast-paced environment where ideas matter more than hierarchy, and execution beats bureaucracy. Your work will directly influence who we serve, how we grow, and how we deliver sustainable value. KEY RESPONSIBILITIES Drive promotions & pricing strategy: * Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. * Build deep insight into marketing campaign and conversion funnel performance, identifying opportunities to improve cost and conversion efficiency. * Stay abreast of industry trends and competitor activity to ensure our products remain fit for purpose. Financial forecasting & portfolio analytics: * Collaborate closely with the Credit Risk Analytics, Growth and Data Science teams to understand how our products and portfolio are performing at a granular sub-segment level. * Define key KPIs and develop detailed monitoring to track performance against these goals, and deliver actionable recommendations to improve outcomes. Use strategic analysis to shape and influence broader business strategy. Evaluate expansion opportunities: * Navigate through ambiguity to assess the feasibility of new product, channel and segment expansion opportunities. * Create robust commercial assessment frameworks, build tooling where necessary (e.g. RoI or NPV models) and extract data to support these assessments and deliver clear, insight-driven recommendations. Influence & execution: * Collaborate with stakeholders across Credit Risk, Data Science, Product and Growth to bring your strategies to life. * Present insights and recommendations to senior leadership - clear, concise, and backed by data. * Approach every conversation with an open mind, valuing the strength of ideas over ego or hierarchy. * Ensure your implemented strategies are working as intended once deployed in production, validating outcomes and iterating as needed. Fast-track your career growth: * Opportunity to mentor and coach more junior graduate analysts, fostering their technical growth and strategic thinking. * Well defined career progression pathways to Manager/Senior Manager for high performers. YOUR EXPERIENCE Essential: * 3+ years of experience in an analytics role in any discipline (e.g. Growth, Credit Risk, Product Analytics, Marketing, etc.) * Proficiency in coding - ideally SQL and Python Desirable: * Experience in an FCA-regulated financial services firm LIFE AT LENDABLE * Winning team: the opportunity to scale up one of the world’s most successful fintech companies * Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites * Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls * Health coverage: support for your physical and mental wellbeing, including private health cover * Retirement & savings: long-term financial wellbeing through retirement savings plans * Employee referral programme: earn a competitive bonus when you refer successful new team members * Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations * Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog!