Lead Fraud Risk Analyst at Toast

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Build and implement early warning systems to proactively detect merchant risk and transaction
Analyze internal data to identify patterns of merchant degradation or irregular transaction behavior
Design and execute custom monitoring strategies based on merchant profiles and risk indicators
Take fast, informed actions based on emerging risk signals, coordinating with Leadership and Risk
Collaborate with Sales, Account Management, fraud ops teams to contextualize data findings with
Conduct research to uncover counterparty debt levels or financial stress indicators

Bachelor's degree in Finance, Business, Data Analytics, Economics, or related field
5+ years of experience in transaction monitoring, risk analytics, fraud detection or credit risk
Experience in fintech, payments, lending, or transaction monitoring platforms
Strong data analysis and investigative skills with focus on behavioral pattern recognition
Proficiency in SQL and analytics platforms such as Looker, Hex, Snowflake and Python
Python and SQL Mandate

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