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Tier-1 brand and metro location increase competition despite seniority and niche capital-markets focus.
Requires deep banking, derivatives, and regulatory experience so background transferability is low.
Explicit 9+ years, capital-markets/regulatory expertise and specific technical skills create highly stringent shortlisting.
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Own end-to-end data analysis and mapping for Derivatives and SFT products to support Regulatory Reporting within the enterprise data office.
Lead design and implementation of data governance controls, quality rules, and systematic solutions to eliminate manual processes and remediate data issues.
Collaborate across Markets, Risk, Finance, Tech, and Data Engineering teams to gather requirements, document data flows, and ensure accurate, timely, and fit-for-purpose data for business and regulatory needs.
9+ years combined experience in banking, financial services, IT, data controls, or governance.
Strong expertise in Capital Markets, specifically Derivative products (Equities, FX, IRS, Commodities) or SFT (Repo, Reverse Repo, Securities Lending/Borrowing).
Proficient in data analysis tools including Excel, SQL, Python, Pyspark and experienced in AI-driven data analysis and prompt engineering with GenAI/LLMs.
Preferred Engineering graduate with post-graduation in Finance; strong data governance and regulatory knowledge.
Experienced in managing complex data flows and regulatory reporting data for capital markets products with a strong analytical and problem-solving approach.
Capable of leading cross-functional collaboration and effectively communicating complex technical and business requirements to diverse stakeholders.
Skilled in designing scalable, automated data governance solutions to replace manual processes, with hands-on expertise in data mapping, lineage, and quality control tools.