Senior Analyst, Fraud Intelligence

📋 Description

• Analyze large-scale behavioral, transactional, and customer interaction data to identify signals
• Apply business judgment and analytical methods to investigate fraud patterns, test hypotheses, and
• Respond to emerging fraud threats by building monitoring frameworks, dashboards, and mitigation
• Assess the performance of AI-powered fraud review agents, evaluating the quality of case summaries
• Translate evaluation findings into improvements to prompts, rules, and workflows to enhance
• Partner with Machine Learning teams to recommend model features based on observed fraud patterns

🎯 Requirements

• At least 3 years of hands-on experience in fraud analytics, ideally within e-commerce or retail.
• A bachelor’s degree or higher in a quantitative discipline, such as Mathematics, Statistics
• Strong understanding of data science and analytics fundamentals, including statistical analysis
• Proficiency in SQL and practical experience with Python data analysis libraries, such as pandas
• Strong analytical judgment and business acumen, with the ability to identify meaningful patterns in
• Experience evaluating or tuning automated decision-making systems, including LLM-based or

🎁 Benefits

• Annual base salary: $125,000–$145,000. The final offer depends on job-related knowledge, skills
• Full medical, dental, and vision benefits.
• Equity in an early-stage, fast-growing company.
• Generous and flexible paid time off.
• A 401(k) plan with financial guidance from Morgan Stanley.
• A collaborative and supportive team environment with colleagues from diverse backgrounds.