- Develop credit and fraud strategies to improve the credit performance by using data, machine learning models, and advanced analytics tools to optimize risk decisions
- Bring innovative, out of the box thinking to make recommendations and solve problems
- Design A/B tests and understand the risk and customer experience trade-offs
- Continue to innovate by testing new data, analytical approaches, and models
- Partner with Data Science, Product, Engineering and other partner teams to implement credit and fraud prevention strategies, test, and validate pre and post performance
- Conduct ad-hoc analysis related to risk management, product, and operations
- Analyze portfolio performance at a granular segment level on an ongoing basis
- Identify trends and conduct root-cause analysis to isolate key performance drivers
- Communicate findings and recommendations to the Risk Management and broader Prosper community
PythonSQLMachine Learning+3 more