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Job Description
Structured overview of role & requirementsAbout This Role
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, data quality rules, and systematic solutions to eliminate manual processes and remediate data issues.
Collaborate with multiple business and technical stakeholders to gather requirements, analyze data transformations, and perform functional testing and data validations.
Minimum Requirements
9+ years of combined experience in banking/financial services, IT, data controls, or governance.
Extensive experience in Capital Markets, specifically derivatives products (Equities, FX, IRS, Commodities) or SFT (Repo, Reverse Repo, Securities Lending/Borrowing).
Strong data analysis skills using Excel, SQL, Python, Pyspark; experience with AI tools (AutoML, GenAI, LLMs) for data analysis and automation.
Preferably an Engineering Graduate with Post Graduation in Finance.
Ideal Candidate Profile
Strong understanding of data governance, regulatory requirements, and industry information affecting Capital Markets data.
Experience managing complex data initiatives including analysis, planning, execution, and production management in financial services.
Ability to communicate complex data flows and technical requirements clearly to both technical and non-technical stakeholders.