Transaction Monitoring Risk Analyst

About Toast

We are a rapidly growing company that’s revolutionizing the way the restaurant industry does business by pairing technology with an extraordinary commitment to customer success. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, guest-facing technology, and award-winning customer support. Join us as we empower the restaurant community to delight guests, do what they love, and thrive.

Bready* to make a change?

We are seeking a sharp, analytical Transaction Monitoring 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.

Key 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 and Account Management 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

Qualifications:

• Bachelor's degree in Finance, Business, Data Analytics, Economics, or a related field
• 2–5 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
• 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 analytical and problem-solving skills with high attention to detail.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Experience in retail sector
• Understanding of merchant or SMB-related risk dynamics, including sector or geographic exposure risk

Preferred Qualifications:

• Familiarity with anomaly detection techniques and machine learning-based risk scoring (a plus, not required)