[Hiring] Senior Fraud Analyst @Armitage Labs

Role Description

We are hiring a Senior Fraud Analyst to take full ownership of Creem's fraud prevention program — its design, implementation, and continuous improvement. Your goal is to bring expertise in-house and build a program strong enough that does not rely on external counsel.

• Own the fraud prevention program end-to-end.
• Design, implement, and continuously improve Creem's entire fraud prevention framework — strategy, controls, tooling, and processes.
• Build proactive, real-time controls.
• Develop and tune automated fraud detection rules and scenarios, velocity checks, and prevention scenarios that act at transaction time.
• Drive decisions with data.
• Analyse transaction, dispute, and merchant data to identify emerging fraud patterns.
• Own risk policies and procedures for merchant onboarding and ongoing monitoring.
• Manage end-customer fraud by analysing end-customer activity and relevant data points.
• Evaluate, integrate, and tune external fraud prevention and risk tools and partners.
• Design the program to keep fraud and chargeback ratios below PSP and card network thresholds.
• Maintain clear documentation of risk policies, procedures, and automated systems.
• Take over the scope currently covered by outside fraud and risk consultants.

Qualifications

• Solid experience (typically 5+ years) in fraud prevention, payments risk, or transaction monitoring at a PSP, Merchant of Record, acquirer, fintech, or high-volume online merchant.
• Strong analytical skills: comfortable querying and analysing large transaction datasets (SQL required; Python or similar for deeper analysis is a strong plus).
• Hands-on experience designing, implementing, and tuning automated fraud rules, scenarios, or risk models.
• Working knowledge of card network fraud and chargeback monitoring programs.
• Experience selecting, integrating, or operating third-party fraud prevention tools.
• An owner's mindset: able to structure a broad mandate into a program and deliver it autonomously.
• Clear written and oral communication skills.

Requirements

• Experience with fraud patterns specific to SaaS, AI, or digital-goods businesses.
• Familiarity with ML-based fraud scoring.
• Exposure to 3-D Secure / SCA strategy and dispute automation.
• Experience with merchant KYB/underwriting risk in a platform or marketplace setting.
• Prior team leading and/or domain ownership experience.

Benefits

This is a rare chance to own fraud prevention at the platform level rather than optimise someone else's program. You will define the strategy, build the controls, choose the tools, and see the direct impact of your work in the numbers that matter.