Assistant Manager | Financial Risk | Bengaluru | Regulatory & Financial Risk
• Job requisition ID : 106427
• 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 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
- 3 to 5 years of relevant experience