Lead Product Analyst / Product Data Scientist, FinCrime/Fraud
Location: Hybrid or Remote TBC
Contract: 6 to 12 months, with a strong likelihood of extension
Start: ASAP, before Christmas
IR35: Determination to be confirmed
Rate: TBC (depending on experience and IR35 status)
The client
A global fintech moving and managing money for millions of personal and business customers across international payments, cards and accounts. You'll join the Financial Crime analytics function, which works out how to stop bad actors without adding friction for genuine customers.
The role
This is a product led analytics role, not a reporting one. You'll sit with product managers, data scientists, engineers and operations in fraud and AML focused teams. You'll find opportunities in the data, size them, and make the case for what the team should work on. The work is technical, but the impact on decisions matters just as much.
You���ll be:
Owning and tracking the key metrics for your product and operational teams, and keeping them accountable through the quarter
Balancing competing metrics, such as cutting fraud and financial crime while managing operational cost and customer friction
Scoping new opportunities and suggesting features, rules and models to tackle emerging risks
Working with Data Scientists/ Analytics Engineers to develop detection and mitigation approaches
Building your own data models and pipelines where needed to answer questions quickly, alongside an established analytics engineering team
Making data self-serve, so stakeholders can get insight without relying on an analyst
Influencing senior, domain expert stakeholders and backing your analysis with confidence
Essential
5 to 10 years' experience in product analytics, data science or advanced analytics in a professional fraud setting
Hands-on exposure to financial crime or risk, in at least one of fraud, AML, sanctions and screening, KYC or KYB, transaction monitoring, or anomaly detection
Advanced SQL that you can write yourself: window functions, CTEs, complex joins, aggregations and query optimisation
Working fluency in Python
Practical experience with GenAI tools such as Claude Code or similar in your day to day workflow
Experience in a product environment where you found and sized problems yourself, rather than only delivering work handed to you
Strong communication, with the ability to turn complex analysis into clear recommendations
Data visualisation and storytelling with tools such as Looker, Tableau or Power BI
Hands-on experience with dbt and Airflow
Preferred
Other pipeline and orchestration tools such as Dagster or Prefect, or in-house equivalents, will also be considered
Experience building predictive models
A background in a fintech, neobank, payments business or product led tech company
A quantitative degree in maths, statistics, physics, engineering or similar
TPBN1_UKTJ
Product Data Analytics / Product Data Scientists - Fraud/FinCrime in London employer: Xcede
As a Mobility Engineer/Consultant with us, you'll thrive in a dynamic remote work environment that champions innovation and collaboration. We offer competitive benefits, a strong focus on employee development, and the opportunity to work on cutting-edge enterprise solutions that make a real impact. Join our team and be part of a culture that values your expertise and encourages professional growth while ensuring you have the tools and support needed to excel in your role.
