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Tier-1 bank, mid-level analytics title, metro location, and common SQL/Python skills increase applicant competition.
Role's emphasis on first-party fraud, credit risk, and regulatory compliance makes cross-industry transferability limited.
Explicit 4+ years requirement plus fraud/credit experience and mandatory SQL increases filtering rigor.
Consult on and analyze moderately complex business, operational, and technical challenges to support strategic initiatives.
Lead or participate in large cross-group projects and mentor less experienced staff.
Collaborate with internal and external stakeholders while ensuring compliance and risk management requirements are met.
4+ years of analytics experience via work, training, military, or education.
Degree in Finance, Economics, Statistics, Engineering, or related field.
Experience in fraud risk, credit risk, or payments analytics with strong understanding of first-party fraud typologies.
Proficiency in SQL and Excel; Python/R experience is a plus.
Demonstrated ability to analyze first-party fraud behaviors and payment patterns with root cause analysis.
Experience working collaboratively with credit risk, collections, and underwriting teams to align fraud strategies.
Strong analytical skills with attention to detail and capability to differentiate credit risk from fraud intent signals.