Senior Analyst, Fraud Intelligence

Summary

Join Extend's Fraud Intelligence team and leverage cutting-edge analytics to combat fraud and protect retailers. Analyze large-scale data to identify fraud patterns, develop mitigation solutions, and influence business strategies. Collaborate with cross-functional teams to execute effective fraud prevention strategies. This high-ownership role requires strong data science skills, experience in fraud analytics, and exceptional communication abilities. You will directly impact the company's bottom line by enhancing customer trust and protecting retailers from fraud. Extend offers competitive salaries, benefits, and a collaborative work environment.

Requirements

• 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
• 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

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
• 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

Preferred Qualifications

Prior experience in a startup or high-growth environment is preferred

Benefits

• 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