
Satispay · Barcelona
About us Satispay began by rethinking the simple act of a payment to remove the friction from our daily routines. But we didn't stop there. Today, we are build...
About us
Satispay began by rethinking the simple act of a payment to remove the friction from our daily routines. But we didn't stop there.
Today, we are building a complete financial platform designed to empower people and concretely improve their lives.
By giving our 6 million users a clear, open path to pay, save, and invest, we are evolving into the definitive destination for
every financial need.
What you'll be doing
As our Fraud Data Analyst, you'll be the person who secures the future of digital payments by architecting sophisticated real-time
defense strategies.
that combines ML scores with velocity features to make millisecond decisions.
Positive Rates (FPR) and Gross Fraud Loss.
end-to-end mitigation strategies.
third-party data signals.
model scores with heuristic rules.
a seamless user experience.
leadership to evolve our risk appetite.
Expect challenges, collaboration, and the freedom to bring your ideas to life in a fast-moving and supportive environment. Things
change quickly here, so be ready to adapt, take initiative, and shape your role as we grow.
Who we're looking for
We need a problem-solver who loves teamwork and gets things done. If you're curious and ready for real ownership, you'll fit in!
Does this sound like you?
sectors.
environments.
CareAbout: how we support your impact
We move fast, and evolution never stops. It's a fun ride, but it can be challenging. To make sure our people truly thrive, we're
committed to making their lives easier, both in the office and out in the world. That's why we created CareAbout:
Equal opportunity employer
At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all
backgrounds. This opportunity is open to everyone, regardless - for instance - of race, colour, religion, sex, gender identity,
sexual orientation, and national origin. Join us in a workplace where everyone belongs!
Learn more about us
Our values and pillars aren't just fancy words on a page - they really shape everything we do. Explore them here.
By submitting this application, I acknowledge that I have read and understood the content of the Privacy Policy
Location: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. We are looking for a Data Lead for our FinTech Product organization (m/f/d) to drive data-centric strategy across our financial products and fraud prevention capabilities. You will use data to balance growth, user experience, and marketplace risk — ensuring our payment, payout, and fraud prevention products are safe, scalable, and high-performing. Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate data professionals who strive for excellence and like to have fun. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE: The FinTech Data team plays a pivotal role in driving data-centric processes, analyses, experiments, and strategic development for the FinTech Product organization. As the Lead of the FinTech Data team, you will be at the forefront of translating data insights into tangible business value. Working in close collaboration with Product leaders in Fraud & Risk, Payments, and User Experience topics, you will establish effective communication channels between the data team and the broader Product organization. Your role will extend to collaborating with fellow Data Leaders and Principals, fostering cross-domain teamwork, and ensuring the adoption of industry best practices. Your primary responsibility will be to lead a dynamic cross-functional data team consisting of Data Analysts, Data Scientists, and Data Engineers. Through your leadership, you will empower and coach the team, enabling them to deliver optimal results across FinTech’s critical domains. If you are eager to uncover new potential and contribute to propelling Freenow to a stronger position, here is your chance to make a significant impact. In more detail this means… * By using strategic thinking based on the FinTech business function and company’s strategy, help the team to identify, understand, structure, and solve complex problems across payments, fraud prevention, credit risk, and payout operations, and improve and productionize high-value data products * Owning and advancing fraud prevention data procedures, balancing customer experience with risk mitigation. Guide the team on identifying fraud patterns, building creditworthiness models, and ensuring the right balance between prevention and user conversion * Motivating your team to deliver amazing data products by focusing on the outcome rather than output, besides ensuring that the team has the right level of information to make informed decisions across all FinTech domains * Aligning with your stakeholders to deliver the highest impact with available capacities, always seeking to improve the existing and striving for decisions and actions that drive our business’s success * Ensure we are launching valuable experiments, with reliable test designs, besides using statistical methods to measure the impact of FinTech features and risk-related improvements, and make sure that we are launching the correct changes in our financial products * Mentoring and coaching team members in order to help them grow professionally to the next level, cultivating a growth and continuous learning mindset, leading by example and being a role model * You will steer our FinTech products’ data strategy, informing which features should be developed and which changes should be made to ensure safe, scalable, and efficient financial flows for millions of users TO BE SUCCESSFUL IN THIS ROLE: * You have curiosity in your essence, which motivates you to answer WHY things happened, not only scratching the surface, but aiming for well-founded actionable results * Previous experience in leading and developing top performing data teams, preferably within tech, product, or FinTech organizations. Experience managing cross-functional teams with mixed data disciplines (Analysts, Scientists, Engineers) is highly valued * Exceptional analytical skills, lateral thinking, and proven experience in solving highly challenging problems * A history of leading and supporting successful data projects and the ability to define and communicate project objectives, resources, timelines and methodologies clearly to all stakeholders * Understanding of payment processes, fraud prevention, and credit risk. Familiarity with industry standards, fraud patterns, and creditworthiness modelling is a strong advantage * Hands-on mentality, not afraid to proactively get their hands dirty in order to accelerate the generation of new insights * Very good knowledge of SQL, databases, and statistical programming tools (e.g. Python, R) * Good understanding and hands-on experience in analysing and interpreting A/B test results, backed by statistical knowledge. Experience in causal methodologies is a plus * You understand how to engage and influence decision-makers by using data visualisation and storytelling * Have excellent English communication skills, being capable of interacting and coordinating with internal and external stakeholders in steering end-to-end processes and projects BENEFITS & PERKS IN A NUTSHELL: * Hybrid working models * Subsidised gym membership * Sabbatical & time off * Partner product discounts * Birthday-off * Personal development budget * Mobility budget for FREENOW App * Employee assistance program Plus more local benefits depending on your work location! DIVERSITY, EQUITY & INCLUSION: FREENOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve, bring your true self to work. ABOUT US: Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app. In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?
About the Role We’re looking for a Staff Data Scientist to shape the future of our marketplace through advanced analytics, experimentation, and machine learning. You’ll define the technical direction of data science initiatives, influence product strategy, and mentor other data scientists to elevate our analytical standards and impact. As a Senior Technical Leader, you’ll partner closely with Product, Engineering, and Operations teams to turn data into decisions that improve reliability, growth, and user experience across markets. What You’ll Do - Lead data science initiatives with company-wide impact — from experimentation frameworks to ML systems and causal inference methods - Define best practices and standards for experimentation, modelling, and analytical excellence across teams - Partner with Product and Engineering leadership to identify and prioritise high-leverage opportunities - Develop and deploy scalable models and data products that drive measurable business outcomes - Mentor and coach other data scientists and analysts, helping them deliver higher-impact work - Communicate insights and recommendations to senior leadership, influencing product and growth strategy - Contribute to Heetch’s data platform evolution, ensuring data quality, reliability, and efficiency at scale You’ll Thrive In This Role If You - Have a deep understanding of statistics, experimentation, and causal inference, and know how to apply them pragmatically - Are fluent in Python, SQL, and modern data/ML tooling - Have experience bringing ML models into production and measuring their long-term business impact - Are skilled at translating complex technical findings into actionable business insights - Are a collaborative leader who mentors peers and sets high standards for analytical rigor and impact - Have 7+ years of experience in data science, ideally with 2–3 years in a Staff-level or tech-lead capacity Nice to Have - Experience in marketplace or pricing systems (supply–demand modelling, matching, or fraud detection) - Experience leading data science guilds, chapters, or communities of practice - Familiarity with MLOps, feature stores, or causal inference frameworks
Please note that this opportunity requires relocation to our Luxembourg office. About us Satispay began by rethinking the simple act of a payment to remove the friction from our daily routines. But we didn't stop there. Today, we are building a complete financial platform designed to empower people and concretely improve their lives. By giving our 6 million users a clear, open path to pay, save, and invest, we are evolving into the definitive destination for every financial need. What you'll be doing As our Monitoring & Oversight Analyst, you’ll be the person who leads the surveillance, identification, and containment of real-time fraudulent and illicit activities across our ecosystem. Here's what your day-to-day will look like: * High-Volume Alert Review & Resolution – Managing, analyzing, and resolving transaction monitoring alerts flagged by our systems, ensuring swift and accurate decision-making on complex or ambiguous customer behaviors. * Advanced Escalation Handling – Serving as the primary point of contact for complex alerts escalated by other teams, conducting the necessary deep dives to quickly determine if further investigation or filing is required. * Detection Logic Feedback Loop – Translating insights gained from your daily alert reviews into actionable feedback for Product and Data teams to help tune, refine, and update our transaction monitoring rules. * Process & Workflow Optimization – Identifying bottlenecks in the daily alert handling queue and proposing tactical improvements to streamline workflows, reduce false positives, and increase team efficiency. * Mentorship on the Line – Coaching and onboarding junior analysts by sharing best practices on transaction analysis, pattern recognition, and effective case documentation. * Compliance & Airtight Documentation – Ensuring every resolved alert is backed by clear, concise, and defensible rationale that strictly adheres to regulatory standards and internal guidelines. * Typology Hunting – Owning a strategic monitoring 'Focal Area', actively researching emerging global financial crime trends and swiftly translating them into live, production-ready transaction detection rules. Who we're looking for We need a problem-solver who loves teamwork and gets things done. If you're curious and ready for real ownership, you'll fit in! Does this sound like you? * Experience – 3+ years of hands-on experience in transaction monitoring, real-time fraud operations, or KYT surveillance, specifically within hyper-growth Fintechs, fast-paced digital banking networks, or high-volume payment processing environments. * Surveillance Mastery – Subject matter expertise in transaction monitoring principles, payment flows, velocity patterns, and regulatory frameworks (FATF, EU Directives, PSD3/SCA). Professional industry certifications (e.g., CAMS, CFE) are highly valued. * Advanced Data & Systems Literacy – High proficiency in navigating complex data landscapes using internal data analytics tools (such as Looker, Splunk, HEX, or Redshift) and leveraging basic SQL to query and manipulate large transactional datasets. * Rule Engineering Mindset – A strong track record of identifying structural gaps in automated detection models and turning those gaps into concrete, logic-driven monitoring scenarios. * Leadership & Coaching Presence – Demonstrated ability to guide peers, design operational training modules, and elevate the monitoring and analytical competencies of a wider operational team. * Analytical Communication – Exceptional ability to synthesize complex transaction data and chaotic payment behaviors into structured, clear, and actionable insights for both technical and non-technical stakeholders. * Core Values – Extreme attention to detail, resilience under high transaction-alert volumes, and the unwavering ethical judgment needed to manage sensitive risk incidents. CareAbout: how we support your impact We move fast, and evolution never stops. It's a fun ride, but it can be challenging. To make sure our people truly thrive, we're committed to making their lives easier, both in the office and out in the world. That's why we created CareAbout: * ❤️ Health (Private insurance for you and your family, psychological support with Serenis, mental health workshops) * 💰 Financial resources (Stock Option Plan, Meal vouchers, Relocation support if you're moving countries) * ⚙️ Growth and development (Professional development programs, Internal mobility, Language courses with Preply) * 🌱 Flexibility (Unlimited PTO, Hybrid working policy*, Flexible working hours) * 👨👩👧 Family (Enhanced parental leave, Additional leave for child sickness) *We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time. Equal opportunity employer At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, colour, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs! Learn more about us Our values and pillars aren't just fancy words on a page - they really shape everything we do. Explore them here. #LI-HYBRID #LI-VR1 By submitting this application, I acknowledge that I have read and understood the content of the Privacy Policy