Anti-Fraud Officer

Job Overview

Role Overview:

As an Anti-Fraud Officer in our fintech company, you will be responsible for developing and executing data-driven fraud detection strategies across real-time payment channels, wallet systems, credit issuance platforms, and P2P transfers. This role demands sharp analytical skills, familiarity with financial crime typologies relevant to digital platforms, and the ability to act rapidly against emerging fraud vectors.

Key Responsibilities:

• Monitor and investigate suspicious transaction patterns using internal risk tools and third-party behavioral analytics platforms (e.g., SEON, Featurespace, or Feedzai).

• Collaborate with the Data Science team to refine machine learning models that flag anomalies in high-velocity environments (sub-200ms latency requirements).

• Perform deep-dive analysis into fraud incidents including synthetic identity fraud, account takeovers, device farming, and first-party fraud.

• Own the fraud rules engine logic for decisioning platforms, working directly with Product and Engineering to fine-tune thresholds, logic trees, and fallback protocols.

• Conduct root cause analyses post-incident, and translate findings into policy, control, and product feedback loops.

• Stay ahead of region-specific fraud schemes (e.g., UPI fraud in India, APP scams in the UK, romance scams in the US), maintaining a dynamic threat model tailored to our platform’s geography and use cases.

• Lead the internal response to complex fraud rings by coordinating between Customer Support, Engineering, and Legal.

• Maintain and refine KYC and transaction monitoring strategies in alignment with licensing requirements and regulatory expectations in multiple jurisdictions.

Requirements:

• 4+ years in fraud risk, financial crime, or digital payments risk within a fintech or neobank environment.

• Demonstrated understanding of fraud typologies specific to APIs, mobile-first platforms, digital wallets, and embedded finance.

• Hands-on experience with at least one fraud detection or decisioning platform (e.g., Actimize, Alloy, Sardine, or in-house tooling).

• Strong working knowledge of device fingerprinting, velocity checks, behavioral biometrics, and geo-IP mapping.

• Ability to translate technical fraud detection rules into business-impact terms and regulatory narratives.

• Familiarity with regional compliance standards (e.g., PSD2, MAS TRM guidelines, FFIEC).

• SQL proficiency required; Python or other scripting languages are a plus.

• Exceptional cross-functional communication skills—comfortable interfacing with engineering, legal, customer ops, and product.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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