Retail Fraud Analyst Resume Example

Senior Fraud Analyst · Axiom Marketplace

Seattle, WA · 2021 - Present

• Led initiatives to reduce overall payment fraud losses by 18% year-over-year, preventing over $7 million in potential losses through enhanced detection rules and model tuning.
• Optimized chargeback dispute processes, increasing the chargeback win rate from 65% to 82% and recovering an additional $1.2 million annually.
• Developed and implemented new SQL-based queries and Python scripts to identify emerging fraud trends, reducing false positive rates by 15% and improving customer experience.
• Collaborated with product and engineering teams to integrate new fraud prevention tools (e.g., behavioral biometrics) into existing platforms, reducing account takeover fraud by 25%.

Fraud Analyst · Zenith Payments

Portland, OR · 2018 - 2021

• Analyzed transactional data for various e-commerce merchants, identifying and investigating suspicious activities to prevent financial losses totaling over $3.5 million.
• Managed a portfolio of high-risk merchant accounts, providing recommendations for fraud prevention best practices and improving their fraud scores by an average of 20 points.
• Assisted in the development and fine-tuning of machine learning models for fraud detection, increasing the efficiency of fraud review processes by 30%.
• Prepared detailed investigative reports for internal stakeholders and law enforcement, contributing to the successful prosecution of 5 complex fraud cases.

Bachelor of Science in Data Science · University of Washington

Seattle, WA · 2014 - 2018

• Graduated Cum Laude with a GPA of 3.8/4.0
• Relevant coursework: Statistical Modeling, Machine Learning Fundamentals, Database Management, Predictive Analytics
• Completed capstone project on anomaly detection in transactional data for financial institutions

Senior Retail Fraud Analyst · Macy's

San Francisco, CA · 2022 - Present

• Led investigations into complex fraud schemes, recovering over $1.2M in potential losses within 18 months by developing advanced data correlation techniques.
• Implemented new transaction monitoring rules that reduced false positive alerts by 15% while maintaining a 98% fraud detection rate.
• Mentored junior analysts, improving team efficiency by 20% through standardized investigation protocols and tool training.
• Collaborated with IT and product teams to integrate fraud prevention modules into new e-commerce platforms, reducing chargeback rates by 10%.

Retail Fraud Analyst · Gap Inc.

San Francisco, CA · 2019 - 2022

• Analyzed transactional data to identify emerging fraud trends, contributing to a 25% reduction in fraudulent orders quarter-over-quarter.
• Managed a portfolio of 500+ fraud cases monthly, achieving a resolution rate of 95% within established service level agreements.
• Utilized SQL to extract and manipulate large datasets, providing actionable insights that informed strategic fraud prevention initiatives.
• Developed and presented weekly reports on fraud metrics and trends to senior management, highlighting areas for system improvement.

Financial Analyst · Wells Fargo

San Francisco, CA · 2017 - 2019

• Conducted detailed financial modeling and risk assessments for investment portfolios totaling over $50M, identifying potential vulnerabilities.
• Streamlined data analysis processes using advanced Excel and VBA, reducing report generation time by 30% and improving accuracy.
• Collaborated with senior analysts to develop comprehensive financial forecasts, which were consistently within 5% of actual results.
• Presented findings on market trends and risk exposure to internal stakeholders, aiding in strategic decision-making.

Bachelor of Science in Finance, Minor in Data Science · University of California, Berkeley

Berkeley, CA · 2013 - 2017

• Graduated with High Honors, GPA: 3.8/4.0
• Completed capstone project on predictive analytics for market trends using Python and R