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Tier-1 bank and metro location increase competition despite niche derivatives and governance requirements.
Deep capital markets and regulatory knowledge limits cross-industry transferability.
Explicit 13+ years, domain expertise, and mandatory technical/data governance skills make filters stringent.
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Own analysis and documentation of derivatives and SFT data flows within enterprise data systems to support regulatory reporting and risk management.
Lead end-to-end data flow assessments, identify data gaps, and design solutions to improve data quality and eliminate manual adjustments.
Coordinate with business and technical teams to define critical data elements, implement data governance controls, and automate variance reporting.
13+ years of experience in banking, financial services, IT, data controls, or governance.
Deep understanding of Derivative products (Equities, FX, IRS, Commodities) and Securities Financing Transactions (Repo, Reverse Repo, Securities Lending and Borrowing).
Proficiency in data analysis tools including Excel, SQL, Python, and Pyspark.
Not explicitly mentioned: specific degree requirement aside from preference for Engineering Graduate with Finance Post Graduation. Notice period not mentioned.
Experienced in capital markets with strong knowledge of regulatory data reporting and data governance.
Skilled in stakeholder management across technical and non-technical teams to translate requirements and deliver clear documentation.
Analytical mindset with ability to deconstruct complex data flows and develop systematic data solutions leveraging advanced data tools and governance frameworks.