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Regulatory Data Impact Analyst

India, Mumbai · Job Posted February 18, 2026
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Job Description

We are looking for a technical problem-solver to join our Global Regulatory Reporting Analytics Team. In this role, you will act as the "Gatekeeper" of our regulatory data. You will be responsible for two critical functions: (1) Proactive Impact Analysis, where you assess how upstream system changes (product updates, migration, schema changes) will affect our regulatory reports, and (2) Reactive Root Cause Analysis, where you investigate data anomalies reported by the reporting team. You will sit at the intersection of Technology and Finance. You must be fluent in SQL to dig into the data and fluent in Financial Products to understand the business context.

Job Responsibility

  • Upstream Change Impact Analysis (The "Shield"): Monitor and review upcoming changes in upstream source systems
  • Analyze the "Blast Radius" of these changes
  • Conduct "content analysis" to verify if the nature of the data is changing
  • Incident Triage & Root Cause Analysis (The "Detective"): Investigate "perceived data issues" raised by the Regulatory Reporting team
  • Execute complex SQL queries to trace data lineage back to the source
  • Determine the verdict: Is this a true upstream Data Quality (DQ) issue, a logic gap in our transformation layer, or a valid business event?
  • Prevent false alarms from reaching the technology development team by filtering out non-issues
  • Testing Strategy & Requirements Management: Translate findings into actionable JIRA tickets
  • Define test cases for User Acceptance Testing (UAT) to ensure upstream changes do not cause regression in reporting
  • Communication & Stakeholder Management: Act as the translator between the Reporting Team and the Technology Team
  • Present impact assessments to stakeholders to get sign-off on upcoming changes

Requirements

  • Advanced SQL: Must be comfortable writing complex queries from scratch (Joins, Window Functions, Case Logic) to profile data and validate hypotheses
  • Data Analysis: Ability to compare large datasets (Source vs. Target) to identify variances
  • Domain Knowledge (Banking or Trading): Familiarity with Lending products (Mortgages, Revolving Credit, Term Loans), Deposits, and General Ledger concepts
  • Familiarity with Capital Markets products (Derivatives, Securities, Repos) and trade lifecycles
  • Understanding of how product data translates to financial reporting
  • Process & Tools: Experience with JIRA for defect tracking and requirements management
  • Ability to read and interpret Data Mapping Documents (Source-to-Target mappings)
  • Education: Bachelor’s degree (or higher) required
  • Preferred Major in Data Analytics/Data Science, Computer Science, Quantitative Finance/Economics, Statistics/Mathematics
  • Experience: Looking for candidates with experience 1 - 6 years

Nice to have

  • Experience with specific regulations (e.g., FR Y9C, FFIEC 031, FR Y-14, CCAR, FFIEC 009/009A, LCR, 2052a, or other Regulatory Reporting)
  • Python scripting skills for automating data comparison tasks
  • Previous experience in a "Data Quality," "Data Governance," or "System Integration" role
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