- Build ML-based fraud and risk models to reduce risk-related loss and increase pass rates.
- Develop and foster a rigorous data-driven culture within the Risk and Compliance teams.
- Design and analyze A/B experiments to evaluate the impact of changes and deployed risk models.
- Create new risk signals to detect fraud, monitor transactions, and identify malicious trading activity.
- Define, measure, and improve essential monitoring metrics for Risk and Compliance.
- Provide technical leadership to Risk and Compliance teams.
- Design and build tools to automate processes and facilitate smart decision-making.
- Conduct ad-hoc analysis to identify and mitigate risk and fraud.
- Collaborate with Product teams to ensure swift implementation of risk modules.
PythonSQLMachine Learning+5 more