×
Register Here to Apply for Jobs or Post Jobs. X

Analytics Manager; Card Fraud

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Capital on Tap
Full Time position
Listed on 2026-06-18
Job specializations:
  • Finance & Banking
    FinTech, Banking & Finance
  • IT/Tech
    FinTech, Banking & Finance, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Analytics Manager (Card Fraud)
Location: Greater London

Requirements

  • 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
  • (Desirable) Direct experience working in card fraud - ideally within a bank, card issuer, or fintech operating on the issuing side
  • (Desirable) Hands-on familiarity with card fraud systems and the data that comes with them (Visa fraud platforms, CNP fraud, 3DS/SCA, PSD2 compliance)
  • (Desirable) Experience with APP fraud or faster payment fraud systems is a strong bonus
What the job involves
  • 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
  • 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
#J-18808-Ljbffr
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary