Risk Management - Fraud Risk - Senior Associate

JPMorgan Chase - Plano, TX

Full-time - Mid Level

Plano, TX

Credit Intermediation and Related Activities

About the position

As a Senior Associate in Fraud Risk within the Consumer & Business Banking (CBB) Risk Management group at JPMorgan Chase, you will play a crucial role in analyzing and developing risk strategies to mitigate fraud losses while enhancing revenue. This position involves high-level analytic support for complex projects, requiring sophisticated data analytics on large datasets, and collaboration with various teams to implement and validate initiatives.

Responsibilities

• Analyze DDA Acquisition strategies and support efforts to develop risk strategies which reduce fraud losses and improve revenue benefit to the firm
• Develop expertise in DDA New Account Originations and understand the operational details and key risks within the underlying business processes
• Provide analytic support and timely reporting for the successful implementation of various De-risking initiatives
• Coordinate with IT, Systems and Operations partners to implement new projects as required
• Ensure compliance with existing risk and control structure while driving future enhancements to risk and control structure
• Critically assess fraud trends to uncover gaps in fraud tools and develop new ways of combatting fraud
• Provide accurate and concise results and present findings, recommendations, and presentations to Management
• Collaborate across cross-functional teams to knowledge share and develop broader insights into fraud and customer impacts
• Ensure robust business controls exist and are executed against on a consistent basis
• Partner closely with Operations, IT, marketing, finance, loss strategy owners, Retail bank leadership, and digital leadership to ensure that all priorities are aligned
• Communicate across lines of business and all key stakeholder groups
• Participate in developing and implementing best practices across the broader team including stakeholders like digital, product, finance, and technology

Requirements

• Master's/Bachelor's degree in a quantitative or business discipline from an accredited college/university required
• 3+ years of experience in analytics space
• 2+ years of SAS programming experience (PC, UNIX or mainframe)