Hybrid — London 3 days per week in office
About my client
A fast growing fintech lender, backed by a small, agile team that moves quickly and takes real ownership of the products we build. As they launch new products, they're investing heavily in fraud capability and this role sits right at the centre of that.
What You’ll Be Doing
They're looking for a Senior/Lead Card Fraud Data Analyst/Analytics Manager to join their Fraud team. This is a hands on, high ownership role, you'll take direct responsibility for our fraud systems end to end, from onboarding fraud through to card fraud, and play a central part in building the capabilities we need as we launch new products.
Write complex SQL queries to interrogate transaction and customer data, identify fraud signals, and surface emerging attack patterns.
Design and build fraud detection rules from scratch, set thresholds based on data, and iterate based on live performance.
Own rules end to end, you spot the pattern, you build the detection, you monitor the outcome.
Work across card and lending data to understand how our customers behave and where fraud risk sits in our specific product set.
Contribute to fraud strategy as the team grows, including input into ML-based detection further down the line.
My client is looking for
A strong data analyst background in a fintech or digital lending environment. You know what SMB or consumer transaction data looks like and you're comfortable working with messy, high volume datasets.
SQL you can actually use, CTEs, window functions, the difference between WHERE and HAVING. You'll be tested on this at case study stage.
A genuine builder instinct. You don't wait to be told there's a problem, you find it in the data and you fix it.
Experience working end to end on analytical problems, not handing logic to a tech team, you own it through to deployment.
Comfortable in a small, fast moving team where the answer isn't always obvious and you have to work it out yourself.
Nice to Have
Direct experience working in card fraud, ideally within a bank, card issuer, or fintech operating on the issuing side.
Hands on familiarity with card fraud systems and the data that comes with them (Visa fraud platforms, CNP fraud, 3DS/SCA, PSD2 compliance).
Experience with APP fraud or faster payment fraud systems is a strong bonus.
Fraud Analytics Lead employer: Alexander Barnes
As a leading FinTech, our company offers an exceptional work environment that fosters innovation and collaboration. We prioritise employee growth through continuous learning opportunities and a culture that values diverse perspectives, ensuring that every team member can contribute to meaningful projects that shape the future of fraud prevention. Located in a vibrant tech hub, we provide unique advantages such as access to cutting-edge resources and a dynamic network of industry professionals.
