Overview
This role drives performance, insight, and continuous improvement across the payments and fraud function through deep technical analytics. You will support Payments & Fraud by strengthening performance monitoring, scalable reporting, and data-driven optimization initiatives.
Responsibilities
Payments & Fraud Analytics
- Support and enhance development of payments and fraud KPIs, performance reporting, and post-launch analysis of new payment features and experiments
- Write and optimize SQL queries to uncover trends, anomalies, and revenue opportunities
- Translate complex data into clear, actionable recommendations for business leaders
- Build and maintain dashboards to monitor fraud trends, payment declines, and overall payment health
Fraud Strategy & Decisioning Support
- Provide analytical support to improve fraud detection and decision workflows
- Evaluate fraud rule performance, monitor alerts, and recommend data-driven improvements
- Conduct fraud trend analysis and recommend mitigation strategies
Payment Optimization & Revenue Protection
- Analyze payment decline drivers and develop decline salvage and optimization opportunities
- Support initiatives related to account updater, retry strategies, and processor performance
- Identify opportunities to reduce operational costs and losses while improving authorization rates
Team Support & Collaboration
- Communicate performance insights, root cause analysis, and mitigation strategies across teams
- Serve as the analytics and reporting extension of the Payments & Fraud team, delivering timely insights that inform decision-making, performance optimization, and strategic initiatives
Requirements
- Highly analytical, meticulous, and proactive, with strong attention to detail
- Excellent organizational and communication skills (written and verbal)
- Ability to work in a fast-moving, lean operational environment
- Bachelor’s degree in Business, Finance, Economics, Data Analytics, or related field
- 2+ years of experience in business analytics, preferably within payments and fraud
- Strong SQL expertise and experience working with large, complex datasets
- Proven ability to deliver business insights and performance-driven recommendations
- Experience building dashboards and reporting in Tableau
Preferred Qualifications
- Familiarity with card-not-present (CNP) subscription-based payments
- Prior experience with Cybersource Decision Manager or similar fraud decisioning tools
Compensation & Benefits
- Bonus program
- Equity plans
- 401K
- Discretionary, merit-based salary increase once a year
- 100% medical/dental/vision coverage
- Unlimited employee PTO
- Offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits; final offer will depend on multiple factors including marketplace competition, job leveling, and the candidate’s experience and skills
Location
Flexible work locations.