Senior Executive | Data Analytics | Bengaluru | Regulatory & Financial Risk

• *Senior Executive \| Data Analytics \| Bengaluru \| Regulatory \& Financial Risk**

• **Job requisition ID** : 115465

• **Location**: Bengaluru

• **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**

1\. 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.

2\. 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.

3\. 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.

4\. 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.

5\. 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.

Data Analyst\- KYC Domain with experience in SQL, KNIME, Dashboard.