Key skills
PythonSQLRStatistical AnalysisSQL ServerRisk Management
About this role
Role Overview
- Assist in researching and developing quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management
- Prepare, manage and analyze large customer loan, deposit and/or financial data sets for statistical analysis using SQL or similar tools
- Run regressions and other econometric analyses to specify models
- Communicate results to team members and stakeholders
- Track portfolio performance and model performance
Requirements
- Bachelor’s degree
- Minimum of 1 years’ proven quantitative behavioral modeling experience
- Minimum of 1 years’ experience with pertinent statistical software packages (SAS, Python, Stata, R)
- Strong Python skills
- Model development experience required
- Minimum of 1 years’ experience with data management environment, such as SQL Server Management Studio
- Minimum of 1 years’ experience in managing and analyzing large data sets
Tech Stack
- Python
- SQL
Benefits
- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
- Professional development opportunities