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Tier-1 bank, metro location, and broad technical plus regulatory requirements increase candidate competition.
Strong financial-regulatory and liquidity-risk domain requirements reduce cross-industry transferability.
Explicit 11+ years requirement, mandatory SQL/Big Data skills and regulatory reporting make shortlisting highly strict.
Own the design and development of complex data models and data architecture enhancements to support regulatory reporting and liquidity risk initiatives.
Collaborate with business stakeholders and technology teams to define data requirements, ensure data quality, and deliver data-driven solutions.
Lead data extraction, analysis, and visualization efforts using advanced SQL and BI tools, and support AI/ML model data preparation.
11+ years experience in Technical Database Analysis or similar role within Financial Services, preferably with regulatory reporting and liquidity risk focus.
Advanced proficiency in SQL and experience with relational databases (Oracle, SQL Server, DB2) and Big Data platforms (Hadoop, Spark, Kafka, cloud data services).
Bachelor's degree or equivalent experience; Master's preferred.
Experience with data modeling, data visualization tools (Tableau, Power BI, QlikView), and involvement in SDLC for data-centric projects.
Senior-level experience working at the intersection of regulatory reporting, liquidity risk, and data architecture in Financial Services.
Strong technical expertise in SQL, Big Data technologies, data modeling, and data visualization tools, coupled with ability to translate business requirements into data solutions.
Experienced collaborator capable of leading data solution design across multiple teams and managing complex, high-impact projects under deadline pressure.