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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, mid-level analytics role, and broad requirements increase candidate competition.
Fraud analytics and decisioning platform expertise is highly specific to financial services.
Explicit 5+ years analytics and 2+ leadership requirements create moderate filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Manage and develop a team responsible for data research and analytics projects supporting business objectives, particularly in fraud risk management within unsecured lending.
Own the design, implementation, and governance of fraud detection and prevention strategies, ensuring alignment with enterprise risk appetite and regulatory requirements.
Collaborate cross-functionally to leverage analytics and technology platforms (e.g., FICO, SSE) for optimizing fraud decisioning, monitoring strategy effectiveness, and driving fraud risk mitigation initiatives.
Minimum Requirements
Minimum 5 years of analytics experience including data research or fraud analytics; at least 2 years in a leadership role managing teams.
Experience or strong knowledge in fraud risk management, fraud analytics, fraud strategy, or financial crimes, especially in consumer unsecured lending portfolios.
Proficiency with fraud decisioning and risk assessment platforms such as FICO or SSE.
Master's degree in Statistics, Mathematics, Economics, Engineering, Finance, Business Administration, or a related quantitative field preferred but not explicitly stated as mandatory.
Ideal Candidate Profile
Experienced leader capable of managing technical teams and resources within fraud analytics and strategy domains, particularly for unsecured lending products.
Strong background in developing and executing fraud detection strategies addressing both First-Party and Third-Party fraud threats using advanced analytics and technology.
Skilled in stakeholder engagement at multiple organizational levels with proven ability to translate complex data insights into executive-level recommendations and operational fraud controls.