The RoleWe99re looking for a Lead Fraud Intelligence &Strategy Analyst to join our team at Verafin. Reporting to an AVP of Product Strategy, you99ll work with one of the largest consolidated fraud data sets in financial services, using transaction and fraud data from across our network to uncover emerging threats, identify patterns, and help financial institutions strengthen their fraud strategies.
You99ll work at the intersection of fraud threat intelligence, data analysis, and client strategy, turning complex data into actionable insights for our clients, product teams, and internal partners.
You99ll fit right in if you99re naturally curious, analytical, and investigative, and you love digging into data to understand not only what is happening, but why.
What You99ll Do- Hunt for emerging fraud threats and patterns across transaction data, case data, marked fraud, and other signals within the Verafin network.
- Turn fraud intelligence into actionable insights, helping clients and internal teams quickly understand emerging activity, attack patterns, and opportunities to respond.
- Analyze how enterprise clients use Verafin scores and data within their fraud strategies and identify opportunities to improve fraud detection and reduce false positives.
- Partner across Product, Customer Success, Sales, and Marketing to translate your findings into client recommendations, product improvements, and broader fraud intelligence.
- Help scale how we analyze fraud, exploring automation, AI, and data architecture improvements that make threat hunting and strategy analysis more repeatable and efficient.
What You99ll Bring- 5+ years of experience in fraud analytics, fraud strategy, or related areas.
- Strong SQL and data analysis skills, with experience working with large, complex transactional data sets.
- Strong understanding of fraud typologies and financial services, including areas such as scams, account takeover, and payment fraud.
- Proven ability to spot patterns and anomalies in complex data and turn them into clear, practical recommendations.
- Excellent communication skills, with the ability to tell a compelling data story to both technical teams and non-technical clients.
Nice to Have- Experience with AI/ML concepts, automation, or agentic AI tools.
- Experience working with enterprise financial institutions or within fraud/cybersecurity threat intelligence.
- Familiarity with payment systems and analytical tools, including Python, R, or data visualization platforms.
This position can be located in New York, Toronto, St. John99s, Philadelphia, or Atlanta and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
