If you’re data-obsessed, impact-driven, and excited to tackle complex problems at the intersection of analytics and fraud prevention, you’ll thrive on our team. This is a high-ownership role where your work will directly protect retailers, enhance customer trust, and drive the company’s bottom line.
What You’ll Be Doing
Lead a team to analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse
Respond swiftly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams
Own AI agent performance tracking and optimization for Fraud Ops, driving continuous accuracy and efficiency gains
Partner with the Machine Learning team to translate fraud pattern findings into model feature recommendations, providing feedback on model scoring based on investigation outcomes
Own metric development and regular reporting to track operational efficiency and fraud savings
Hire, mentor and coach junior data analysts
Perform design and code reviews to raise the technical excellence bar
Partner closely with leadership, 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
What We’re Looking For
Hands-on, proactive, and analytical professional who is passionate about using data to solve complex, real-world problems
6+ years of experience in fraud analytics, ideally within an e-commerce or retail environment
2+ years of experience mentoring and managing analytics teams
Prior experience in a startup or high-growth environment is preferred
Expertise in core analytics concepts, including statistical analysis, data wrangling, and data storytelling
Proficiency in SQL, experience with Python
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
Expected Pay Range: $157,250 - $182,750 per year salaried*
The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.
Extend does not provide immigration-related sponsorship for this role.
Life at Extend
Working with a great team from diverse backgrounds in a collaborative and supportive environment.
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.
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