**Tech Solution Business Analyst
- Treasury/Risk Data & Analytics*
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• Lead the data sourcing, modelling, and analysis efforts to support reporting, risk, and P&L; calculations for products including Treasury Securities, Bonds, Equity, Assets & Liabilities, and P&L.;
- Translate complex business requirements for Market Risk Limits and Utilization, RWA, IM (Initial Margin) Posting, and Cashflow Hedge MI into clear Data Requirements, Data Flows, and Logical Data Models.
- Drive end-to-end data solutioning, focusing on data ingestion, transformation, quality checks, and aggregation necessary for accurate analytics and reporting.
- Collaborate extensively with Data Architects, Data Engineers, and Quants to design and implement robust, scalable data pipelines and analytical models.
- Identify opportunities to enhance data quality, lineage, and governance to improve the reliability of MI (Management Information) and regulatory reports. **Business Domain Expertise*
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- Deep understanding of the data attributes and lifecycle for Treasury Securities, Bonds, and Equity products, including market data (pricing, yield curves) and static data.
- Expertise in the data requirements for Market Risk Limits/Utilization and the associated risk metrics (e.g., VaR, Stress Testing).
- Solid knowledge of the underlying data needed for Cashflow Hedge MI (Hedge effectiveness, designation/dedesignation data)



and IM Posting (exposure, collateral, margin calculations).
- Understanding of the data and calculations related to RWA and other regulatory capital frameworks.
- Familiarity with financial accounting concepts to ensure the accuracy of P&L; (Profit & Loss) and Assets & Liabilities data reporting and reconciliation. **Execution & Delivery*
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- Create and manage detailed data mapping documents, data dictionaries, and transformation rules between upstream sources and the target analytical platform/data mart.
- Define data quality rules and validation criteria for critical data elements across all Treasury and Risk initiatives.
- Support the testing lifecycle, focusing on UAT and data-specific reconciliation testing to ensure the accuracy of analytics and reports.
- Align to the firms data governance and software delivery frameworks. **People and Talent*
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- Act as a subject matter expert on financial product data and its analytical use, guiding development teams and advising business stakeholders. **Risk Management & Governance*
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- Ensure the integrity and completeness of data used for regulatory reporting (RWA, Market Risk) and critical MI (Cashflow Hedge MI, P&L;).
- Establish strong data governance practices within the delivery scope, ensuring transparent data lineage and auditability.

📌 Treasury BA (Chennai)
🏢 Capgemini
📍 Chennai