Design, develop, and optimize fraud strategies across personal loans and student loan refinance products
Monitor portfolio performance to identify emerging fraud trends, risks, and optimization opportunities
Develop and deploy fraud rules and strategies using segmentation, statistical analysis, and predictive modeling techniques
Own end-to-end fraud mitigation processes, with accountability for fraud loss reduction and performance outcomes
Design and execute A/B tests and champion/challenger frameworks to evaluate strategy effectiveness
Build and maintain scalable analytical frameworks using tools such as Snowflake and dbt
Develop dashboards and reporting (e.g., Looker) to monitor KPIs such as fraud rate, approval rate, and false positives
Generate actionable insights from structured and unstructured datasets, including limited or noisy data environments
Partner with cross-functional teams (Product, Engineering, Risk, Operations) and external vendors to implement fraud solutions
Leverage internal and third-party data to enhance fraud detection capabilities
Continuously evaluate and refine strategies based on performance metrics and evolving fraud patterns
Communicate insights, strategy performance, and model behavior clearly to stakeholders and senior leadership
Support model development lifecycle, including design, validation, and production deployment

Requirements

Bachelor’s degree in a quantitative field (e.g., Statistics, Engineering, Analytics, Economics); Master’s preferred
4+ years of experience in fraud risk, credit risk, or customer risk management within a financial institution or fintech
3+ years of hands-on experience with SQL, Python, or R for data analysis and modeling
3+ Proven experience designing and implementing fraud strategies for unsecured lending products (e.g., personal loans)
Strong analytical and problem-solving skills with attention to detail
Ability to translate complex data into clear, actionable insights
Effective communicator with experience influencing cross-functional stakeholders
Self-starter with a high degree of ownership, curiosity, and adaptability

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

fraud strategiesstatistical analysispredictive modelingA/B testingdata analysisSQLPythonRdashboard developmentanalytical frameworks

Soft Skills

analytical skillsproblem-solvingattention to detailcommunicationinfluencingownershipcuriosityadaptability