Remote Credit Data Modeler: Risk Modeling & ML

Optum; Eden Prairie (MN); Remote; USD 156,000 - 262,000; Full time

Job summary

Optum is seeking a Credit Data Modeler to develop and maintain predictive credit risk models at the Eden Prairie, MN campus. This role involves forecasting PD/LGD/EAD, refining models with advanced techniques, and ensuring compliance with fair lending standards.

Telecommuting is available from anywhere in the U.S., supporting a flexible work arrangement. You will partner with Data Engineering and Product teams to productionize models, monitor performance, and present insights to both technical

Qualifications

• Master's degree in Statistics, Computational Mathematics, Data Science or related field.
• At least 24 months of experience in data modeling or related occupation.
• Proficiency in Python, R, SQL and data visualization tools.

Responsibilities

• Develop and maintain predictive models for credit risk and application scoring.
• Design models for underwriting, fraud detection, and collections strategies.
• Create features from alternative data sources to improve performance.
• Translate models from prototype to production with Data Engineering partnership.
• Monitor, validate, and recalibrate models for macroeconomic shifts.
• Communicate insights clearly to technical and non-technical stakeholders.

Skills

Python

R

SQL

Tableau

Power BI

Credit risk modeling

Gradient boosting

Neural networks

Random forest

Loss forecasting

Machine learning

Education

Master's degree in Statistics / Computational Mathematics / Data Science

Job description

Optum is seeking a Credit Data Modeler to develop and maintain predictive credit risk models at the Eden Prairie, MN campus. This role involves forecasting PD/LGD/EAD, refining models with advanced techniques, and ensuring compliance with fair lending standards.

Telecommuting is available from anywhere in the U.S., supporting a flexible work arrangement. You will partner with Data Engineering and Product teams to productionize models, monitor performance, and present insights to both technical