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Matt Wallaert
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Business Analyst

Capgemini

Capgemini

IT, Sales & Business Development
India
Posted on Feb 17, 2026

Job Description

Key Responsibilities

1. Business Analysis for Investment Banking Data Products

• Act as the primary BA supporting the development, refinement, and enhancement of investment banking data products and financial data assets.

• Gather, analyze, and document business requirements from stakeholders across Finance, Product Control, Middle Office, and Front Office functions.

• Translate business and accounting rules into clear functional requirements for data pipelines, reporting solutions, and analytical platforms.

• Support the creation of data dictionaries, data lineage documentation, validation rules, and control frameworks.

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2. Finance & Accounting Expertise

• Apply deep knowledge of accounting principles, financial statements, and product level accounting for investment banking products (e.g., derivatives, fixed income, equities, structured products).

• Support the design of data models for P&L, balance sheet, trade life cycle, valuations, and financial metrics.

• Partner with Finance stakeholders to ensure accurate representation of financial and accounting concepts within data platforms.

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3. Data Analysis & Technical Enablement

• Extract and analyze large datasets using advanced SQL to validate requirements, perform reconciliations, troubleshoot data quality issues, and identify process gaps.

• Use Python and/or VBA to build prototypes, automate recurring analyses, and assist with data validation frameworks.

• Collaborate with data engineering teams to ensure high quality data sourcing, transformations, and controls.

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4. Cross Functional Collaboration

• Work closely with Technology, Data Engineering, Finance, Risk, and Operations stakeholders to drive end to end project execution.

• Participate in solution design discussions, system testing (UAT), and go live support for new data features or product releases.

• Act as a subject matter expert (SME) on finance and accounting concepts during data product development cycles.