Fraud Tradeoff Analyst

Role Overview

• Analyze enterprise fraud performance across deposits, digital, payments, authentication, and account lifecycle domains to identify material loss drivers, customer friction, operational impacts, and emerging risks.
• Develop and apply a fraud tradeoff framework to evaluate initiatives across fraud loss reduction, customer experience, operational efficiency, and financial impact, enabling clear, data-driven prioritization decisions.
• Engineer and maintain fraud loss-avoidance methodologies, ensuring consistent, audit-ready measurement of net benefit, including losses avoided, review costs, false-positive friction, and revenue impacts.
• Perform advanced and ad-hoc analytics to assess control effectiveness, conduct root-cause analysis on fraud events, and identify optimization or decommissioning opportunities.
• Support strategic sizing and business cases by quantifying expected benefits, costs, risks, and tradeoffs for fraud initiatives, tools, and enhancements.
• Partner with Fraud Strategy, Risk, Operations, Digital, and Technology teams to align priorities, evaluate tradeoffs, and drive measurable outcomes from analytics-informed initiatives.
• Collaborate with modeling and AI/ML teams to support predictive fraud capabilities through analytical input, performance assessment, and value tracking.
• Translate complex analytics into clear, executive-ready insights and narratives, ensuring findings inform action, investment decisions, and continuous improvement.
• Ensure analytical rigor and data quality, validating assumptions, strengthening methodologies, and promoting transparent, decision-ready metrics used confidently by stakeholders and governance forums.
• Assess operational impacts of fraud controls, including alert volumes, review capacity, false-positive burden, and workflow efficiency, identifying opportunities to reduce friction while maintaining effective risk mitigation.

Requirements

• Bachelor’s degree, or equivalent work experience
• Typically more than eight years of applicable experience
• Comprehensive knowledge of all departmental data sources, and of fraud risk and operations management associated with the product lines
• Strong analytical skills relative to evaluating fraud prevention infrastructure and forecasting fraud loss trends
• Strong project management skills
• Effective verbal and written communication skills
• Proficient computer navigation skills using a variety of software packages including Microsoft Office applications and data analysis software

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law