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 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

• Leveraging AI for advanced analytics & reporting

• This is a hybrid role with 2 days per week in the Bangalore office.

What you'll need to thrive (Requirements)

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

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for