Key Responsibilities:- 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
Ideal Candidate Will Have:- 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
Additional Pluses:- Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)
- Experience working with specialty finance or FinTech
- Marketing analytical experience
Benefits:- Competitive salary and benefits package
- Flexible, remote work
- Fun, fast-paced work environment
- Dynamic start-up culture
- Ability to make an immediate impact in a growth stage company
- Convenient downtown Chicago office located in the heart of the city
Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship.
