Note: The job is a remote job and is open to candidates in USA. Extend’s Fraud Intelligence team analyzes signals and transactions to identify and prevent fraud across its post-purchase protection platform. The Senior Analyst uncovers fraud patterns, improves monitoring and AI-driven review processes, and partners with Fraud Operations and Machine Learning to turn findings into operational and model improvements.

Responsibilities

• 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
• Respond swiftly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams
• Evaluate Fraud Ops' AI review agent, both the quality of its case summaries and the accuracy of its recommended decisions, and turn what you find into prompt, rule, and workflow improvements
• Partner with the Machine Learning team to translate fraud pattern findings into model feature recommendations, and give feedback on model scoring based on investigation outcomes
• Participate in design and code reviews, and mentor junior analysts on SQL and analysis best practices

Skills

• Hands-on, proactive, and analytical professional who is passionate about using data to solve complex, real-world problems
• 3+ years of experience in fraud analytics
• 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
• Ideally within an e-commerce or retail environment
• Prior experience in a startup or high-growth environment is preferred
• Experience evaluating or tuning automated decisioning systems (LLM-based or rules-based) is a plus

Benefits

• Working with a great team from diverse backgrounds in a collaborative and supportive environment.
• 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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