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Product Analyst Team Lead
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-18
Listing for:
Persona
Full Time
position Listed on 2026-06-18
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
Requirements
- 7+ years of experience in fraud, risk, or product analytics, with a strong technical foundation (SQL fluency is a must; comfort with data at scale is key)
- People management experience, or a clear and demonstrated trajectory toward it — you’re someone who gets energized by developing others, not just doing the work yourself
- The ability to go deep on IC analytical work while simultaneously building toward a management role — you’re comfortable doing both and see them as complementary, not competing
- Strong communication skills — you can distill complex fraud findings into clear narratives for technical and non-technical audiences alike
- A sharp eye for patterns and anomalies, and the critical thinking to know when something is worth digging into
- An innate interest in the Persona side of things — you like to understand how our product works and what problems we solve for our customers
- Fraud is at the heart of what Persona does — and this role sits right at the center of it. As a Senior Fraud Product Analyst, you'll own high-impact analytics work that directly shapes how we detect, understand, and combat fraud across our platform, while also stepping into a leadership role managing a growing team of fraud analysts
- This is a rare opportunity to combine deep technical craft with people management, and to build something that matters — at a company where fraud-fighting is core to the mission, not an afterthought
- Lead end-to-end fraud analytics investigations, audits, and data tests from scoping to execution to delivering insights that drive product and customer decisions
- Build and maintain fraud health metrics to track the efficacy of Persona's fraud-fighting capabilities over time
- Translate quantitative and qualitative fraud findings into clear, actionable recommendations for Engineering, Product, and Customer-facing teams
- Research emerging fraud trends and techniques to develop deep, current expertise in the identity verification space
- Manage, mentor, and develop a team of 6–9 fraud analysts, setting them up for growth while maintaining high standards for analytical rigor
- Partner with Product to feed fraud insights back into the roadmap, helping prioritize the right improvements to our detection and prevention capabilities
- Serve as the main escalation point for fraud-related questions from internal teams and, where relevant, customers
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