Lead loss forecasting by leveraging data science models and applying business overlays to project portfolio performance.
Monitor and analyze credit metrics across multiple loan products, identifying key risks, trends, and opportunities.
Prepare and present portfolio forecasts and credit/fraud performance updates to executives, the Board, and rating agencies.
Validate and challenge credit and fraud risk models to ensure methodological soundness, transparency, and regulatory compliance.
Partner cross-functionally with Finance, Capital Markets, and Data Science to align risk insights with business strategy.

Requirements

3+ years in a data-driven role, ideally within credit or fraud risk.
Strong proficiency in SQL for data extraction and Python for statistical modeling and analysis.
Experience with loss forecasting, particularly in consumer lending products.
Skilled in data visualization and BI tools (e.g., Looker, Tableau) as well as Excel and PowerPoint.
Strong analytical thinker with excellent communication and presentation abilities.
Detail-oriented, intellectually curious, and able to manage multiple priorities under tight deadlines.

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLPythonstatistical modelingdata visualizationloss forecastingcredit riskfraud riskdata analysisExcelPowerPoint

Soft Skills

analytical thinkingcommunicationpresentationdetail-orientedintellectually curioustime managementprioritization