
Transaction Monitoring Risk Analyst
- Bangalore, Karnataka
- Permanent
- Full-time
- 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
- 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
- Familiarity with anomaly detection techniques and machine learning-based risk scoring (a plus, not required)