Role Summary Senior Data Scientist focused on fraud strategy analytics and operational monitoring across a consumer lending portfolio. You will turn fraud data, scorecard performance, and decisioning outcomes into actionable policy, rule, and reporting recommendations —
The role would be to support one or more databases of low to medium complexity with multiple concurrent users, ensuring control, integrity and accessibility of the data. Developing and maintaining enterprise data documentation and metadata models
Role Summary Hands-on data scientist on the data science and model development team, focused on building the machine-learning and statistical models that power our consumer lending decisions. You will develop credit risk models for underwriting and
The role would be to support one or more databases of low to medium complexity with multiple concurrent users, ensuring control, integrity and accessibility of the data. Developing and maintaining enterprise data documentation and metadata models