Lead Fraud Risk Analyst

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. We are seeking a sharp, analytical Lead Fraud Risk Analyst to join our growing Risk team. This role is critical to identifying early signs of transactional risk and merchant degradation through data-driven monitoring. You ll be responsible for detecting anomalies, analyzing behavioral trends, and designing custom monitoring strategies that mitigate risk exposure. You ll work cross-functionally with Sales, Finance, and Leadership to protect business health and proactively manage high-risk counterparties. A day in the life (Responsibilities) Build and implement early warning systems to proactively detect signs of merchant risk and transaction anomalies Analyze internal data to identify patterns of merchant degradation or irregular transaction behavior Design and execute custom monitoring strategies based on unique merchant profiles and risk indicators Take fast, informed actions based on emerging risk signals, consulting with Leadership and Risk stakeholders as needed Collaborate with Sales, Account Management, fraud ops teams to contextualize data findings with real-world merchant relationships Conduct research to uncover and assess counterparty debt levels or financial stress indicators Develop and maintain data queries and visualizations to monitor large exposures, fraud risks, or operational anomalies Partner with Risk Strategy, Underwriting, and Data teams to continuously refine risk detection logic and tools Contribute to the design of transaction anomaly detection systems and alerting frameworks for proactive intervention Ability to perform fraud review independently What you ll need to thrive (Requirements) Bachelor s degree in Finance, Business, Data Analytics, Economics, or a related field 5+ years of experience in transaction monitoring, risk analytics, fraud detection or credit risk management Experience in fintech, payments, lending, or transaction monitoring platforms Strong data analysis and investigative skills with a focus on behavioral pattern recognition Proficiency in SQL and analytics platforms such as Looker, Hex, Snowflake and Python Python and SQL Mandate Strong communication skills and ability to translate technical findings into business context Ability to work cross-functionally in a fast-paced, dynamic environment with minimal supervision Strong