
Regulatory Operations Business Analyst
- Bangalore, Karnataka
- Permanent
- Full-time
- Analyze and interpret complex transaction reporting requirements across multiple regulatory frameworks (EMIR, MiFID, SFTR, CFTC, etc.), with focus on field population, data transformation, and validation rules
- Develop and maintain comprehensive data mapping documentation and data lineage diagrams, tracking data flows and transformations across various systems and products
- Drive end-to-end investigation efforts to identify root causes and implement solutions for transaction reporting discrepancies and data quality issues
- Lead User Acceptance Testing (UAT) initiatives by creating detailed test cases, coordinating with development teams, and collaborating with other business analysts to ensure quality deliverables
- Coordinate cross-functionally with Operations, Technology, and Compliance teams to ensure successful implementation of regulatory reporting requirements across all regimes
- Monitor regulatory changes and assess their impact on existing reporting processes, providing recommendations for necessary system or process modifications
- Provide training and guidance to business users on regulatory reporting requirements and processes
- Review and validate third-party vendor solutions for regulatory reporting, ensuring they meet business requirements and compliance standards
- 3-5 years of experience as a business analyst, data analyst or quality analyst role associated with regulatory operations or compliance functions
- Financial product knowledge (EQ, FI, COMM, IR, FX) including detailed understanding of trade/transaction lifecycles and regulatory requirements
- Deep understanding of global transaction reporting regulations, particularly MIFID, EMIR, SFTR and CFTC
- Experience in data mapping and data lineage documentation
- Strong analytical and problem-solving skills with attention to detail
- Experience with SQL queries, store procedures and XML data formats
- Experience with data visualization tools
- Ability to work autonomously with minimum supervision
- Hybrid