Senior Director, Global Process Owner – Quality Risk Management
Eli Lilly and Company
Senior Quantitative Risk Analyst
Earnest
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteSalary
💰 $126,000 - $158,000 per year
Job Level
Senior
Tech Stack
PythonSQLTableau
About the role
- 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.
- Experience in student loans, personal loans, or credit cards.
- Familiarity with regulatory compliance in the lending industry.
- Prior exposure to risk model development or enhancement.
- Background in efficiency improvements and automation.
- Ability to independently research and implement innovative modeling approaches.
