Senior Business Data Analyst - Capital Market- Vice President

Overview

Vice President role in the Enterprise Data Office and Product Solution team, ensuring accurate, timely and fit-for-purpose data for business, risk management and regulatory reporting, with a focus on capital markets derivatives and SFT data flows.

What you'll do

• Understand Derivatives and SFT data flows within Citi and analyse derivatives product data across systems for target state adoption and resolution of data gaps and issues.
• Lead assessment of end-to-end data flows for all data elements used in Regulatory Reports.
• Document current and target state data mapping and produce gap assessments.
• Coordinate with the business to identify critical data elements, define standards and quality expectations, and prioritise remediation of data issues.
• Identify appropriate strategic sources for critical data elements.
• Design and implement data governance controls, including data quality rules and data reconciliation.
• Design systematic solutions to eliminate manual processes and adjustments and remediate tactical solutions.
• Prepare detailed requirement specifications containing calculations, data transformations and aggregation logic.
• Perform functional testing and data validations.
• Perform daily DOD variance analysis across assigned trading books, attributing movements to market risk factors, trade activity, model changes and pricing adjustments.
• Design, build and maintain analytical tools and dashboards to automate variance reporting.
• Leverage AI-powered tools (e.g. AutoML, Python libraries) to clean, analyse and visualise data from structured and unstructured sources.

What you'll need

• 13+ years of combined experience in banking and financial services, information technology and/or data controls and governance.
• 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).
• 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.
• Strong knowledge of structured/unstructured databases, data modelling, data management, rapid/iterative development methodologies and data governance tools.
• Strong understanding of data governance issues, policies, regulatory requirements and industry information affecting the business environment.
• Demonstrated stakeholder management skills.
• Excellent communication, presentation, business and technical writing, and verbal communication skills.
• Excellent problem-solving, analytical and critical thinking skills.
• Self-motivated and able to dynamically determine priorities.
• Data visualisation skills.

Nice to have

• Engineering graduate with post-graduation in Finance.
• Well versed with prompt engineering and automation utilising GenAI and LLMs.

Details

• Location: Pune, Maharashtra, India.
• Full-time role.