Remote Credit Data Modeler: Risk Forecasting & ML

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

Job summary

UnitedHealth Group is seeking a Credit Data Modeler to develop and maintain predictive credit models, including PD, LGD, and EAD, for underwriting, fraud detection, and collections strategies. The role involves feature engineering from alternative data sources and productionizing models in collaboration with Data Engineering and Product teams.

Candidates should have a Master’s degree in a quantitative field and at least two years of data modeling experience, with strong Python, R, SQL and BI

Qualifications

• Master's degree in Statistics, Computational Mathematics, Data Science, or related field.
• 24 months of experience in data modeling or related occupation.
• Experience with Python, R, SQL, and BI tooling.
• Knowledge of credit risk modeling and fair lending standards.

Responsibilities

• Develop and maintain predictive models for credit scoring, PD, LGD, and EAD.
• Design models for underwriting, fraud detection, credit line management, and collections strategies.
• Create features from alternative data sources to improve model performance.
• Collaborate with Data Engineering and Product teams to productionize models.
• Monitor, validate, and recalibrate models for macroeconomic shifts.
• Communicate insights clearly to technical and non-technical stakeholders.

Skills

Python

R

SQL

Credit risk modeling

Machine learning

Gradient boosting

Neural networks

Random forest

Loss forecasting

Education

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

Tools

Tableau

Power BI

Job description

UnitedHealth Group is seeking a Credit Data Modeler to develop and maintain predictive credit models, including PD, LGD, and EAD, for underwriting, fraud detection, and collections strategies. The role involves feature engineering from alternative data sources and productionizing models in collaboration with Data Engineering and Product teams.

Candidates should have a Master’s degree in a quantitative field and at least two years of data modeling experience, with strong Python, R, SQL and BI