Manager | Financial Risk | Pune | Regulatory & Financial Risk

Job requisition ID : 106425

Location : Pune

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)
• Good understanding of SAS/SQL programs for data analysis, transformation and reporting
• Experience in migrating SAS programs to AWS reporting tools e.g. Athena, Glue, Quicksight etc
• Create, maintain and optimize SAS datasets, reports and macros
• Ensure high-quality data cleaning, validation and transformation
• Good understanding of AWS Data Platforms like ETL pipelines (Glue), Amazon Athena SQL queries on S3
• Write, design and optimize SAS codes for efficiency and performance along with Troubleshoot and debug SAS programs
• Experience in working with cross-functional and local technology teams for Data integration, Data governance and data delivery in the defined timelines
• Lead or support data-related projects end-to-end and provide training & mentorship on SAS & AWS tools and share best practices
• Strong analytical and problem-solving mindset and ability to manage multiple priorities in a fast-paced environment
• Perform testing and end to end documentation of existing programs align with the NatWest standards and governance
• Stay updated with latest AWS/SAS tools, techniques and update
• Knowledge of Banking and trading book products will be an extra advantage and will be preferred
• Exposure in regulatory reporting (good to have)

Key skills required:

• Excellent communication, stakeholder management, and analytical skills.
• Ability to manage multiple validations under tight timelines

Desired qualifications

Master’s degree or higher in Quantitative Finance, Statistics, Mathematics, Engineering, or related field

5 to 8 years of relevant experience