Fraud Data Analyst

About the role

We are looking for an experienced Fraud Data Analyst to design and implement fraud prevention data solutions for our credit card portfolio. The role involves building data infrastructure, reporting, and analytics to support fraud optimisation and product growth.

Key responsibilities

• Own fraud management across customer acquisition and ongoing customer stages, including cut‑off setting, line assignment, affordability checks, authorisation and line adjustments.
• Lead ad‑hoc and regular analytics on key risk indicators, track variance to plan and inform strategy.
• Develop and maintain a management information suite covering risk appetite, live test reviews and trend analysis.
• Manage credit risk messaging to the bank, present performance updates and propose value‑add strategies to committees.
• Collaborate with Finance, Operations and Decision Science teams.
• Document credit risk processes and ensure compliance with changing regulatory standards.
• Contribute to collections, recoveries and broader fraud strategies.
• Support growth initiatives by delivering timely fraud solutions while enhancing customer experience.

Required profile

• 1+ years of experience in an analytical role, preferably within credit or financial services.
• Bachelor’s or Master’s degree in a quantitative or numerical discipline.
• Strong problem‑solving and analytical abilities.
• Excellent communication, organisational and time‑management skills.
• Proactive mindset with a desire to innovate.
• Experience with credit cards or retail lending products is a plus.

Required skills

• SAS
• SQL
• Python
• Tableau
• Power BI

What we offer

• Competitive salary, benefits and performance‑based bonus.