Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniques
Use advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities
Establish key performance metrics and develop automated reporting dashboards using SQL and Python
Design A/B testing for models and underwriting strategies, evaluate impact, and provide recommendations
Requirements
Bachelor's in (or senior majoring in) math, statistics, computer science, engineering or related field
Experience with data analytics and statistical modeling
Experience with relational databases and SQL
Programming experience with Python
Strong quantitative and problem-solving skills with key attention to detail
Additional Pluses: Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)