Fraud Strategy Analyst (Fintech)

TL;DR

Fraud Strategy Analyst (Python/SQL): Developing and optimizing fraud prevention strategies for UK credit card portfolios with an accent on data-driven insights and operational efficiency. Focus on automating reporting and implementing strategies to reduce fraud losses while maintaining customer experience.

Location: Hybrid in London, UK (Remote Mondays and Fridays)

Company

A high-growth fintech unicorn specializing in consumer finance products like loans and credit cards.

What you will do

• Define and evolve fraud strategies for UK portfolios to prevent losses.
• Analyze data using Python and SQL to derive insights and address key business questions.
• Collaborate with cross-functional teams to implement strategies in the market.
• Monitor strategy success and identify continuous improvement opportunities.
• Automate reporting and intelligence sharing for key stakeholders.

Requirements

• Must be based in London to support the hybrid office model.
• 1+ years of proven experience in shaping fraud strategies.
• Foundational proficiency in SQL and Python for daily data tasks.
• Ability to drive business outcomes and a natural curiosity for problem-solving.
• Startup mindset and comfort in an entrepreneurial, fast-paced environment.

Culture & Benefits

• Competitive compensation package including equity.
• Hybrid work model with remote options every Monday and Friday.
• Fresh, healthy lunches prepared by in-house chefs in the office (Tue-Thu).
• Private health insurance coverage.
• Inclusive and open workspace environment in London.

Hiring process

• 15-minute online test.
• Initial phone screening with the team.
• Onsite interviews featuring case studies and team meetings.