Deputy Manager | Financial Risk | Bengaluru | Regulatory & Financial Risk

Deloitte & Touche GmbH Wirtschaftsprüfungsgesellschaft; Bengaluru; Presencial; INR 1.500.000 - 2.100.000; Jornada completa

Descripción de la vacante

Deloitte Strategy, Risk & Transaction is seeking a data analytics professional in Bengaluru to design and manage data pipelines using AWS services and SAS/SQL for analytics, migration, and reporting. The role emphasizes data quality, governance, and cross-functional collaboration on end-to-end data solutions.

Applicants should have a strong analytical mindset, excellent communication skills, and familiarity with banking/trading book concepts.

Formación

• Master’s degree or higher in Quantitative Finance, Statistics, Mathematics, Engineering, or related field.
• Strong analytical and problem-solving mindset.
• Excellent communication, stakeholder management, and analytical skills.
• Knowledge of Banking and trading book products will be an extra advantage and regulatory reporting exposure.

Responsabilidades

• 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 such as Athena, Glue, QuickSight.
• 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) and SQL queries on S3.
• Write, design and optimize SAS codes for efficiency and performance; troubleshoot SAS programs.
• Collaborate with cross-functional and local technology teams for data integration, governance and delivery in timelines.
• Lead or support data-related projects end-to-end and provide training & mentorship on SAS & AWS tools.
• 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 aligned with NatWest standards and governance.
• Stay updated with latest AWS/SAS tools, techniques.

Conocimientos

AWS

SAS/SQL

Data analysis

ETL

Educación

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

Herramientas

AWS Glue

Amazon Athena

Amazon S3

Amazon QuickSight

SAS

SQL

Descripción del empleo

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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)

• Design, develop, and maintain data pipelines using AWS services(Glue, Athena, S3, QuickSight)
• Good understandingof 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 optimizeSAS datasets, reports and macros
• Ensure high-qualitydata cleaning, validation and transformation
• Good understanding of AWS Data Platforms likeETL pipelines (Glue), Amazon Athena SQL queries on S3
• Write, design and optimize SAS codes for efficiency and performance along withTroubleshoot and debug SAS programs
• Experience in working withcross-functional and local technology teamsfor Data integration, Data governance and data delivery in the defined timelines
• Lead or support data-related projectsend-to-end and provide training & mentorship on SAS & AWS tools and share best practices
• Stronganalytical and problem-solving mindsetand ability to manage multiple priorities in a fast-paced environment
• Performtesting and end to end documentationof existing programs align with the NatWest standards and governance
• Stay updated with latestAWS/SAS tools, techniques and update
• Knowledge ofBanking and trading book productswill be an extra advantage and will be preferred
• Exposure inregulatory reporting (good to have)
• 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