Senior Manager - Fraud Analytics

Job Description

Role Summary We are seeking a strategic and hands-on Senior Manager to lead our Fraud Strategy function. This person will own the development and performance of fraud models and scorecards, work closely with cross-functional partners to define fraud policies, and ensure effective collaboration with our fraud operations team. The ideal candidate combines strong analytical skills, a solid understanding of fraud typologies in consumer lending, and a pragmatic approach to implementation. Key Responsibilities Lead fraud strategy for the lending portfolio, balancing risk mitigation with customer experience and approval rates. Develop and maintain fraud detection models and anomaly detection systems using internal and third-party data. Manage fraud scorecard performance and recommend model improvements or policy changes as needed. Collaborate with fraud operations to monitor real-time fraud trends and adapt policies dynamically. Partner with product, data engineering, and external vendors to evolve fraud detection infrastructure. Provide regular fraud performance reporting and deep dives for senior leadership Act as subject matter expert on fraud data, model outputs, and cross-channel : 58 years of experience in fraud strategy, analytics, or credit risk in financial services or fintech. Strong understanding of identity fraud, synthetic fraud, first-party fraud, and third-party fraud patterns. Hands-on experience with fraud models, machine learning tools, and scorecard management. Advanced proficiency in SQL and Python for data analysis and modeling. Experience working with third-party fraud data providers and integrating fraud rules or signals into decision engines. Ability to communicate insights and recommendations clearly to technical and non-technical stakeholders. Exposure to US consumer lending regulations and risk management practices preferred. (ref:hirist.tech) Show more Show less