Hybrid Principal Data Scientist: Credit Risk Modeling

PenFed Credit Union; McLean (VA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

PenFed Credit Union is seeking a Hybrid Principal Data Scientist in Tysons, VA to lead development and monitoring of credit risk models supporting loan origination, pricing, and portfolio management.

The role requires a Master’s in a quantitative field, with PhD preferred, and 8+ years of modeling experience (6+ for PhD). Strong skills in regression, ML, survival analysis, Python, SQL, and R are expected.

Qualifications

• Master's degree in quantitative discipline required.
• PhD highly preferred.
• Minimum eight years of related work experience in building statistical models and analysis.

Responsibilities

• Independently develop statistical models and scorecards for credit underwriting, loan pricing, collection, and portfolio risk monitoring.
• Collaborate with business partners to translate business problems into statistical problems and apply machine learning solutions.
• Lead ad hoc analyses and deep dives to understand business drivers of trends.
• Monitor model performance and support validation activities per governance policy.
• Identify, measure, and monitor credit risk for M&A, loan purchases, and new strategies.
• Improve risk identification and measurement in credit modeling activities.
• Maintain an efficient infrastructure for model development, documentation, implementation and validation.
• Promote innovative ways to visualize and digest complex data.
• Collaborate across teams to drive organizational efficiency.

Skills

Logistic Regression

Linear Regression

Machine Learning

Survival Analysis

Python

SQL

R

Project Management

Communication

Data Visualization

Education

Master's Degree in quantitative discipline

PhD preferred

Tools

SQL

Python

R

Job description

PenFed Credit Union is seeking a Hybrid Principal Data Scientist in Tysons, VA to lead development and monitoring of credit risk models supporting loan origination, pricing, and portfolio management.

The role requires a Master’s in a quantitative field, with PhD preferred, and 8+ years of modeling experience (6+ for PhD). Strong skills in regression, ML, survival analysis, Python, SQL, and R are expected.