Senior Business Data Analyst - Capital Market- Vice President

This role is within enterprise data office and product solution team; focused on ensuring accurate, timely, and fit for purpose data for business, risk management and regulatory reporting requirements. Engage with Markets, Risk, Finance, Tech, Client org, and Data Engineering Teams to gather requirements, understand application processing, identify gaps and design systematic solution for business needs. Average day is highly collaborative, focusing on reaching out to application teams and users to understand Markets products processing in Regulatory Reporting data Flow. Document product data flows along with transformation /mapping/enrichments/logic within enterprise systems. Key Responsibilities: Understand Derivatives and SFT data flows within CITI Data analysis for derivatives products across systems for target state adoption and resolution of data gaps/issues Lead assessment of end-to-end data flows for all data elements used in Regulatory Reports Document current and target states data mapping and produce gap assessment Coordinate with the business for identifying critical data elements, defining standards and quality expectations, and prioritize remediation of data issues Identify appropriate strategic source for critical data elements Design and Implement data governance controls including data quality rules and data reconciliation Design systematic solution for elimination of manual processes/adjustments and remediation of tactical solutions Prepare detailed requirement specifications containing calculations, data transformations and aggregation logic Perform functional testing and data validations Skills & Qualification 13 + years of combined experience in banking and financial services industry, information technology and/or data controls and governance. Preferably Engineering Graduate with Post Graduation in Finance  Extensive experience in the capital markets business and processes Deep understanding of Derivative products (i.e., Equities, FX, IRS, Commodities etc.) and SFT (Repo, Reverse Repo, Securities Lending and Borrowing) Perform daily DOD variance analysis across assigned trading books, providing granular attribution of movements to market risk factors, trade activity, model changes, and pricing adjustments Design, build, and maintain analytical tools and dashboards to automate variance reporting, reducing manual effort and improving time-to-insight AI-Accelerated Data Analysis: Leverage AI-powered tools (e.g., AutoML, Python libraries) to clean, analyze, and visualize data from structured and unstructured sources Well versed with Prompt Engineering & Automation utilizing GenAI and LLMs Strong Data analysis skills using Excel, SQL, Python, Pyspark etc. Experience with data management processes and tools and applications, including process mapping and lineage toolsets Actively managed various aspects of data initiatives including analysis, planning, execution, and day-to-day production management