Assistant Manager | Financial Risk | Gurgaon | Regulatory & Financial Risk

• Job requisition ID : 105768 

• 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.