Capital on Tap - Analytics Manager- Card Fraud
Requirements
• Direct experience working in card fraud - ideally within a bank, card issuer, or fintech operating on the issuing side. • card fraud • 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) • 3DS/SCA, PSD2 • Experience with APP fraud or faster payment fraud systems is a strong bonus. • APP fraud or faster payment fraud systems • Diversity & Inclusion 🌈We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work. • Diversity & Inclusion
Responsibilities
• We're looking for a Senior/Lead Card Fraud Data Analyst/ Analytics Manager to join our 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. • Senior/Lead Card Fraud Data Analyst/ Analytics Manager • hands-on, high-ownership role • Write complex SQL queries to interrogate transaction and customer data, identify fraud signals, and surface emerging attack patterns. • Write complex SQL queries to interrogate transaction and customer data • 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. • We’re 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.
Benefits
• Check out more of our benefits, values and mission here. • Other Info👍Check out our ‘Top Tips’ for interviewing.✔️Keep updated on new job opportunities by following us on Linkedin.📧Email [email protected] if you have any questions. • Other Info • Excited to work here? Apply!If you’d like to progress your career within our fast growing, profitable fintech then click apply and we will aim to get back to you within 3 working days (during busy periods this could take up to 5 working days.) • Excited to work here? Apply!
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