About this role
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.
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