Senior Analyst – Compliance and Regulatory Reporting
Nium View all jobs
- Mumbai, Maharashtra
- Permanent
- Full-time
The position requires hands-on expertise in SQL and Python to develop ETL workflows, transform large datasets, and ensure high-quality regulatory submissions. A key aspect of the role is implementing robust data validation frameworks, maintaining audit trails and data lineage, and proactively monitoring reporting pipelines to identify and resolve discrepancies.
Additionally, the role supports internal and external audits by providing well-documented data evidence and stays updated with evolving regulatory frameworks to assess their impact on reporting processes. Strong stakeholder management, attention to detail, and problem-solving skills are essential to drive accuracy, compliance, and operational efficiency in a fast-paced fintech environment. \nKey Responsibility:
- Work with global compliance teams to understand regulatory reporting requirements across regions and translate them into data and reporting specifications.
- Design, build, and maintain regulatory reports in alignment with regulatory guidelines and internal data governance standards. Develop SQL/Python-based data transformations and ETL workflows to prepare regulatory datasets.
- Implement strong data quality checks, validations, and exception handling to ensure accuracy and completeness of regulatory submissions.
- Maintain detailed audit trails, lineage documentation, and metadata for all regulatory reports. Collaborate with Data Engineering, Product, and Compliance teams to ensure timely and accurate data availability. Continuously monitor data pipelines and regulatory outputs, proactively identifying discrepancies and resolving issues.
- Participate in internal and external audits and support responses with clear documentation and data evidence. Stay updated on regulatory changes and evaluate their data impact.
- 3+ years of experience in Regulatory Reporting, Risk, Compliance Data, or related roles within banking, challenger banks, or fintech.
- Strong proficiency in SQL and hands-on experience in working with large datasets. Experience with Python for data preparation, automation, and scripting.
- Solid understanding of ETL processes, data modeling concepts, and data warehousing. Experience building and monitoring data quality frameworks.
- Excellent communication and stakeholder management skills; ability to work with cross-functional teams across geographies. Knowledge of regulatory frameworks such as AML/CTF, KYC, CRS/FATCA, CESOP, AUSTRAC, etc. (preferred but not mandatory).
- Strong problem-solving abilities and attention to detail.