Lead Fraud Risk Analyst

About the Company

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
• ● Perform fraud review independently

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 are mandatory
• ● 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 and reporting
• ● This is a hybrid role with 2 days per week in the Bangalore office
• ● Familiarity with anomaly detection techniques and machine learning-based risk scoring is a plus, but not required