Qualifications

• 4+ years of experience in fraud risk, payments risk, or financial crimes.
• Expertise in account takeover, social engineering, and transaction fraud risks within retirement and workplace channels.
• Proven management of real-time fraud decisioning environments and strategies.
• Strong collaboration experience across Product, Engineering, Risk, and Operations.
• Bachelor's degree in Statistics, Mathematics, Data Science, Finance, Computer Science, or a related field; graduate degree preferred.
• Expertise in fraud rules engines and decisioning platforms.
• Proficient in analytical tools like Python, R, SAS, SQL, and business intelligence platforms such as Tableau or Power BI.

Responsibilities

• Define fraud prevention strategy across real-time payment channels.
• Design and manage fraud rules, decision logic, and detection strategies.
• Drive enhancements and implementation of fraud rules engines and decisioning platforms.
• Monitor and improve fraud detection and client friction through performance management.
• Use analytics to identify trends and refine strategies for better detection.
• Collaborate with cross-functional teams to integrate fraud controls into customer journeys.
• Maintain disciplined control testing and adherence to risk and regulatory standards.

Benefits

• Comprehensive health benefits including medical, dental, and vision.
• Retirement plan with company matching contributions.
• Generous paid time off policy including vacation and personal days.
• Opportunities for professional development and career advancement.
• Flexible work arrangements to promote work-life balance.