Senior Analyst, Fraud Intelligence
About The Position
The Fraud Intelligence team provides analytical insights for Extend’s post-purchase protection platform, using signals and transactions to identify fraud and abuse and inform prevention decisions. This high-ownership role responds to emerging fraud tactics and works at the intersection of analytics, fraud prevention, and AI-driven review. The analyst partners with Fraud Operations and Machine Learning so findings lead to practical changes that protect retailers, build customer trust, and support business performance. The role also helps raise the team’s analytical standards through code reviews and mentoring junior analysts.
Requirements
- At least 3 years of experience in fraud analytics.
- A bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics, or a related field.
- Strong grasp of core data science and analytics concepts, including statistical analysis, modeling, and data wrangling.
- Proficiency in SQL and experience with Python, including tools such as pandas, NumPy, and scikit-learn.
- Exceptional communication and stakeholder-management skills, with the 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 approach.
- Must be located within the continental United States.
Nice To Haves
- Fraud analytics experience in an e-commerce or retail environment.
- Experience in a startup or high-growth environment.
- Experience evaluating or tuning automated decisioning systems, including LLM-based or rules-based systems.
Responsibilities
- Analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse.
- Use business acumen to identify actionable insights, analyze fraud patterns, and validate hypotheses.
- Respond to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams.
- Evaluate the quality of Fraud Operations’ AI review agent case summaries and the accuracy of its recommended decisions, and use findings to improve prompts, rules, and workflows.
- Partner with the Machine Learning team to translate fraud-pattern findings into model feature recommendations and provide feedback on model scoring based on investigation outcomes.
- Participate in design and code reviews.
- Mentor junior analysts on SQL and analysis best practices.
Benefits
- Full medical, dental, and vision benefits.
- Stock in an early-stage startup.
- Generous, flexible paid time off policy.
- 401(k) with financial guidance from Morgan Stanley.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
