Manager | Data Analytics | Gurugram | Regulatory & Financial Risk

Job description

Job requisition ID :: 106628 Date: Jun 18, 2026 Location: Gurugram Designation: Manager Entity: Deloitte Touche Tohmatsu India LLP **Manager | Data Analytics | Gurugram | Regulatory & Financial Risk** - **Job requisition ID** : 106628 - **Location**: Gurugram - **Entity**: Deloitte Touche Tohmatsu India LLP **The team** Deloitte Strategy, Risk & Transaction helps entities mitigate risk while discovering new opportunities to create value. Our end-to-end risk services span all domains, from managing strategic risks in the C-Suite to improving board oversight, and from balancing financial and environmental policies to addressing cyber threats.**Learn more about Risk, Regulatory & Forensic**) **Your work profile** - Design, develop, and maintain data pipelines using AWS services **(Glue, Athena, S3, QuickSight)** - Data Analytics & Insights Analyze large and complex datasets to generate actionable business insights. - Design and develop dashboards, reports, and data models to support decision-making - Data Governance & Validation - Define and implement data governance frameworks, including data quality standards and policies. - Develop and maintain data validation rules and controls to ensure accuracy, completeness, and consistency of data. - Work with stakeholders to drive data quality improvement initiatives. - Technical & Programming - Utilize Python (mandatory) and/or other programming languages (SQL, R, etc.) for data extraction, transformation, and analysis - Automate data pipelines, validation processes, and reporting workflows. - Work with structured and unstructured data across various systems - Stakeholder Management - Partner with cross-functional teams (Risk, Finance, IT) to gather requirements and deliver solutions. - Communicate insights and findings effectively to both technical and non-technical stakeholders. - Liquidity Risk & Cash Flow Management - Prepare periodic liquidity reports aligned with internal requirements. - Collaborate with treasury and finance teams on cash flow forecasting and process optimization. **Key skills required:** - Bachelor’s/Master’s degree in Finance, Engineering, Data Science, Economics, or related field. - 6–8 years of relevant experience in data analytics - Strong understanding of data governance frameworks and data quality controls. - Hands-on experience with Python, SQL, and data visualization tools (Power BI, Tableau, etc.). - ‘Knowledge of liquidity risk management concepts, including cash flow forecasting and regulatory metrics is add on.