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Tier‑1 brand plus metro location but senior, specialized regulatory focus moderates applicant density.
Role requires deep banking, derivatives and regulatory data knowledge, so backgrounds are not easily transferable.
Explicit 9+ years, capital markets/regulatory expertise and concrete tech/data governance requirements make filters strict.
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Own end-to-end data flow assessment, documentation, and gap analysis for derivatives and SFT data used in regulatory reporting.
Design and implement data governance controls and systematic solutions to eliminate manual data processes and remediate data quality issues.
Collaborate with multiple teams (Markets, Risk, Finance, Technology, Data Engineering) to gather requirements and support data validation and functional testing.
9+ years of experience in banking, financial services, IT, or data governance related to capital markets.
Strong expertise in derivatives products (Equities, FX, IRS, Commodities) or SFT (Repo, Reverse Repo, Securities Lending and Borrowing).
Proficient in data analysis tools such as Excel, SQL, Python, PySpark, and AI-accelerated data analysis techniques including GenAI and LLMs.
Preferably an Engineering graduate with postgraduate qualification in Finance.
Experienced in managing complex, enterprise-level data initiatives within capital markets and regulatory reporting environments.
Capable of translating complex data structures into clear documentation and collaborating effectively with technical and non-technical stakeholders.
Skilled in data governance frameworks, regulatory requirements, and advanced data analysis to drive systematic process improvements.