Happy Money

Business Analyst

• Develop and implement fraud strategies leveraging data, machine learning models and advanced analytics tools to mitigate fraud losses and maintain superior customer experience.
• Manage and optimize existing strategies effectively controlling risks due to first party and third-party fraud.
• Design A/B tests and understand the risk and customer experience trade-offs.
• Lead fraud forecasting and budgeting activities by modeling fraud losses, operational impacts, and fraud trend assumptions.
• Lead the efforts to constantly iterate and improve existing strategies while identifying additional automation opportunities.
• Continue to innovate by testing new data, analytics approaches and models.
• Monitor and 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 Team&amp;nbsp; and the broader Happy Money community.
• Identify and evaluate new vendors/data sources and create business cases and present them to senior management.
• Partner with Product, Marketing, Engineering and external vendor teams to implement strategies and monitor the strategy performance.
• Bring innovative/out of the box thinking to solve problems and make recommendations.
• Conduct ad-hoc analysis related to risk management, product, operations.
• Drive feedback loops using member complaints, bureau data, and operations insights to improve fraud detection performance.
• Provide subject matter expertise during fraud incidents, investigations, and root cause analyses.

Lead Business Analyst, Fraud