Extend Senior Analyst, Fraud Intelligence at Extend to analyze large-scale data for fraud detection and prevention. Collaborate with Fraud Ops and Machine Learning teams to improve fraud review and mitigation.
Responsibilities
The Fraud Intelligence team is the analytical core behind Extend’s post-purchase protection platform. We turn signals and transactions from hundreds of millions of users into the insights that decide what we catch, what we stop, and what we let through.
We love uncovering patterns in messy data to catch bad actors, and fraud doesn't stand still. The work moves quickly: a new tactic shows up, you find it in the data, and you help shut it down. You'll work on the front line of how AI is changing fraud review, alongside Fraud Ops and our Machine Learning team, so your analysis turns into material changes, not just a slide.
If you're data-obsessed, impact-driven, and excited by problems at the intersection of analytics and fraud prevention, you'll thrive here. This is a high-ownership role. Your analysis directly protects retailers, builds customer trust, and moves the company's bottom line. You'll also help raise the bar for the team by reviewing code and mentoring junior analysts.
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
Qualification
Hands-onHigh attention to detailEmpatheticExpected Pay Range
Required
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, 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.)
Experience evaluating or tuning automated decisioning systems (LLM-based or rules-based) is a plus
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
Expected Pay Range: $125,000 - $145,000 per year salaried*
