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Tier-1 brand, metro role, and broad data/BI skillset create high applicant competition.
Core data engineering skills are transferable, but liquidity banking knowledge increases sector specificity.
Mandatory 10 years experience plus required BI/data engineering tech stack enforces strict shortlisting.
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Lead design and build of scalable data models, analytics, and reporting platforms to support liquidity product management and financial insight.
Develop and maintain advanced dashboards and decision-support tools for pricing, P&L, and product performance analytics used globally.
Collaborate with global Product, Treasury, Finance, and Technology teams to enable data-driven commercial decision-making and manage reporting automation and modernization.
6-10 years of experience in analytics, business intelligence, or data engineering roles within financial services.
Strong proficiency in Tableau or Power BI and advanced SQL, data modelling, and ETL skills.
Bachelor's or Master's degree in Engineering, Computer Science, Mathematics, Finance, or related discipline.
Work Experience Required: 6-10 years; Notice Period: Not explicitly mentioned in the JD.
Experienced data engineer/analyst with deep technical skills and strong functional knowledge of liquidity products and P&L drivers.
Capable of delivering end-to-end scalable data solutions and global dashboards for product control and financial analytics.
Skilled at bridging business and technology teams with global collaboration orientation and focus on automation and modernization.