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
Support the implementation of models by working closely with the software engineering team and performing post-release checks and analysis
Assist with development of technical tools and platforms to standardize and streamline model development and monitoring processes
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
Work with cross-functional teams to explore new ways of finding insights from data and provide recommendations
Communicate concise and actionable business strategies to senior management

Bachelor's degree required
2+ years of professional 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
Experience supporting and working with cross-functional teams in a dynamic environment
Advanced degree in a quantitative discipline is a plus
Experience working with specialty finance or FinTech is a plus
Marketing analytical experience

Data Scientist

Key skills