Business Analyst | 6 to 9 years | Bengaluru job opportunity at Capgemini SE.



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Capgemini SE Business Analyst | 6 to 9 years | Bengaluru
Experience: Professional
Pattern: Permanent
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Job Description Experience: Minimum 5 years as a Business Analyst or Data Analyst within financial services, focusing on data-intensive projects in Treasury, Market Risk, or Finance Technology.Core Expertise:Mandatory: Demonstrated ability to define data requirements, develop conceptual and logical data models, and create data flow diagrams.Mandatory: Strong proficiency in SQL for data profiling, analysis, reconciliation, and validation.Domain Knowledge: In-depth understanding of Treasury Securities, Bonds, Equities, and complex derivatives, particularly in relation to Initial Margin (IM) or Hedge Accounting.Data Requirements Expertise: Strong understanding of data needs for at least two of the following areas:Market Risk Limits and UtilizationRWA CalculationInitial Margin (IM) PostingP&L / Balance Sheet (Assets & Liabilities) ReportingTechnical Skills:Experience with large-scale data platforms (e.g., Data Lake, Hive, SAP HANA) and ETL/ELT processes.Familiarity with analytics and reporting tools (e.g., Dataiku, SAP Analytics Cloud (SAC)).Knowledge of data governance principles, including data lineage and metadata management. Job Description - Grade Specific Experience: Minimum 5 years as a Business Analyst or Data Analyst within financial services, focusing on data-intensive projects in Treasury, Market Risk, or Finance Technology.Core Expertise:Mandatory: Demonstrated ability to define data requirements, develop conceptual and logical data models, and create data flow diagrams.Mandatory: Strong proficiency in SQL for data profiling, analysis, reconciliation, and validation.Domain Knowledge: In-depth understanding of Treasury Securities, Bonds, Equities, and complex derivatives, particularly in relation to Initial Margin (IM) or Hedge Accounting.Data Requirements Expertise: Strong understanding of data needs for at least two of the following areas:Market Risk Limits and UtilizationRWA CalculationInitial Margin (IM) PostingP&L / Balance Sheet (Assets & Liabilities) ReportingTechnical Skills:Experience with large-scale data platforms (e.g., Data Lake, Hive, SAP HANA) and ETL/ELT processes.Familiarity with analytics and reporting tools (e.g., Dataiku, SAP Analytics Cloud (SAC)).Knowledge of data governance principles, including data lineage and metadata management. 

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