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Tier-1 brand, metro location, mid-level analytics role and generalist title raise competition.
Requires specific fraud and credit risk domain knowledge, limiting cross-industry transferability.
Explicit 5+ years, mandatory fraud/credit analytics experience and SQL requirement increases screening rigor.
Identify and investigate first-party fraud behaviors including bust-out, misuse of credit lines, and payment manipulation.
Develop, refine, and monitor rule-based strategies and controls to detect and prevent fraud, leveraging segmentation and root cause analyses.
Partner with credit risk, collections, and underwriting teams to align fraud strategies; monitor fraud-related metrics and support fraud detection model development.
Degree in Finance, Economics, Statistics, Engineering, or related field.
5+ years of experience in fraud risk, credit risk, or payments analytics.
Proficiency in SQL and Excel; Python/R experience is a plus.
Strong understanding of first-party fraud typologies and payment behavior dynamics.
Experienced in distinguishing fraud intent signals from credit risk in customer behavior data.
Skilled in analytical modeling and developing early warning indicators for fraud detection.
Able to manage cross-functional stakeholder communication and align strategies across credit risk, collections, and underwriting teams.