Analyst, Fraud Intelligence

• Analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse
• Apply strong business acumen to rapidly identify actionable insights, analyze fraud patterns, and validate hypotheses
• Influence business cases and pricing strategies, and contribute to proof-of-concept initiatives with prospective merchants
• Respond swiftly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams
• Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies
• Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams

• Hands-on, proactive, and analytical professional who is passionate about using data to solve complex, real-world problems
• 2+ years of experience in fraud analytics, ideally within an e-commerce or retail environment
• Prior experience in a startup or high-growth environment is preferred
• Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics or related field
• Strong grasp of core data science and analytics concepts, including statistical analysis, modeling, and data wrangling
• Proficiency in SQL and experience in Python (pandas, NumPy, scikit-learn, etc.)
• Exceptional communication and stakeholder management skills, with a proven ability to work cross-functionally and influence outcomes
• High attention to detail, strong intellectual curiosity, and a deep understanding of user behavior and fraud patterns
• Empathetic, humble, and collaborative team player
• Candidates must be located within the continental United States

• Working with a great team from diverse backgrounds in a collaborative and supportive environment.
• Competitive salary based on experience, with full medical and dental & vision benefits.
• Stock in an early-stage startup growing quickly.
• Generous, flexible paid time off policy.
• 401(k) with Financial Guidance from Morgan Stanley.

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