Tech Solution Business Analyst - Treasury/Risk Data &

- Analytics

- 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

- 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

- 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

- Act as a subject matter expert on financial product data and its analytical use, guiding development teams and advising business stakeholders.

Risk Management &

- Governance

- Ensure the integrity and completeness of data used for regulatory reporting (RWA, Market Risk) and critical MI (Cashflow Hedge MI, P&L;).

- Establish robust data governance practices within the delivery scope, ensuring clear data lineage and auditability.

📌 Treasury BA (Chennai)
🏢 Capgemini
📍 Chennai