Senior - Fraud Risk Management

As a Business Analyst specializing in Fraud Analytics & Intelligence Systems within the Banking Domain at KPMG in India, your role will be crucial in the end-to-end implementation of solutions such as Early Warning Systems (EWS), AML Transaction Monitoring, and Fraud Risk Management platforms. Key Responsibilities: - Lead the preparation of the Business Requirements Document (BRD) in collaboration with stakeholders. - Conduct gap analysis, process mapping, and fraud risk scenario modeling. - Ensure accurate data mapping from internal banking systems and validate data quality. - Collaborate with technical teams and data scientists for model validation, risk scoring logic, and fraud detection workflows. - Define and execute User Acceptance Testing (UAT) scenarios and test cases. - Coordinate with vendors and internal teams to ensure seamless integration with external data sources. - Support the creation of dashboards and reports for Market Intelligence and Fraud Monitoring. Required Skills & Experience: - 4-6 years of experience as a Business Analyst in the Banking or Financial Services domain. - Proven experience in implementing systems like AML Transaction Monitoring, Fraud Risk Management, and Early Warning Systems. - Strong understanding of banking data structures, credit risk, fund flow analysis, and fraud typologies. - Familiarity with external data integration for generating market intelligence. - Experience in functional documentation, UAT coordination, and stakeholder management. - Knowledge of regulatory frameworks such as RBI, SEBI, FIU-IND. - Excellent communication, analytical, and problem-solving skills. Tools & Technologies (Preferred): - Exposure to tools like SAS, Actimize, Amlock, rt360, or similar. - Experience with BI tools (Power BI, Tableau) and SQL / data querying tools is a plus. Qualifications: - MBA, CA, or BTech (with previous experience in fraud management). Please note that this job description is a summary and may not encompass all details of the position.,