Base: $153,600—$264,000 usd; bonus/equity: not spe...
On-site
Develop and deploy machine learning models
Credit risk and operational areas
Sql and python for data solutions
Develop, deploy, and continuously improve machine learning and statistical models and strategies that support various credit and operational procedures including but not limited to portfolio management, loss mitigation, loss forecasting, etc
Job Summary
Develop, deploy, and continuously improve machine learning and statistical models and strategies that support various credit and operational procedures including but not limited to portfolio management, loss mitigation, loss forecasting, etc.
Present model performance and insights to Credit, Risk, and Business Unit leaders.
Collaborate with Data and Engineering teams to improve the model development, deployment, monitoring, and model re-calibration/re-build process.
Matching Summary
Develop, deploy, and continuously improve machine learning and statistical models and strategies that support various credit and operational procedures including but not limited to portfolio management, loss mitigation, loss forecasting, etc.
Salary
Base: $153,600—$264,000 USD; Bonus/Equity: Not specified; Benefits: Competitive