Senior Manager, Fraud Intelligence

Summary

Join Extend's Fraud Intelligence team and lead a team in analyzing large-scale data to detect and prevent fraud. You will own data-driven business cases, influence product strategies, and develop mitigation solutions. Responsibilities include hiring and mentoring junior data analysts, performing code reviews, and collaborating with cross-functional teams. The ideal candidate has 10+ years of fraud analytics experience, 4+ years managing analytics teams, and expertise in data science and analytics concepts. Strong communication, stakeholder management, and leadership skills are essential. Extend offers competitive salaries, full medical/dental/vision benefits, stock options, generous PTO, and a 401(k) with financial guidance.

Requirements

• Hands-on, proactive, and analytical professional who is passionate about using data to solve complex, real-world problems
• 10+ years of experience in fraud analytics, ideally within an e-commerce or retail environment
• 4+ years of experience mentoring and managing analytics teams
• Expertise in core data science and analytics concepts, including statistical analysis, data wrangling, and data storytelling
• Proficiency in SQL and experience in Python (pandas, NumPy, scikit-learn, etc.)
• Strong people leadership skills; ability to develop top analytics talent and leaders
• 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

• Lead a team to analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse
• Own data-driven business cases and influence go-to-market product strategies, and contribute to proof-of-concept initiatives with prospective merchants
• 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
• Design and implement rules engines, heuristics, and contribute to machine learning models to automatically detect and prevent fraudulent activity
• Hire, mentor and coach junior data analysts
• Perform design and code reviews to raise the technical excellence bar
• 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