FS Data

KPMG Global Services (KGS) India is a strategic global delivery organization that works with more than 50 KPMG firms to provide a progressive, scalable and customized approach to business requirements.

The KGS India journey has been one of consistent growth, with a current employee count of c.21,000, operating from eight locations in India — Bengaluru, Gurugram, Hyderabad, Mumbai, Kochi, Noida, Pune and Kolkata. — and providing a range of Advisory and Tax-related services to KPMG firms around the world.

Roles & responsibilities

We are looking for individuals with 2-7 years of FS consulting experience across multiple roles.

Base Requirements:

• Candidates with an experience in any one or more of the Financial Industry (Banking/ Capital Market / Asset Management / Wealth management)

• Required to work on diverse engagements for financial services clients

Ability to adapt and work on different projects and areas

• Exposure to US and UK geographies

• Strong communication skills and confidence in leading workshops

• Knowledge of Power BI, Tableau, Alteryx, Python, SQL will be an advantage

• Nature of the projects include (but not limited to):

• Process design and optimization including regulatory processes, operational excellence & transformation across the value chain – front office, middle office and back office

• Design and implementation of target operating model transformations (systems, processes, controls etc.)

• Data Governance, Data Lineage, Data Testing etc.

• Technology enabled Digital transformation

• Regulatory Transformations eg IFRS 17, Basel III

• Data Tracing & Lineage -

• Data Flow Mapping: Tracing Common Data Elements (CDEs) across multiple environments (e.g., source systems, L0/bronze to L2/gold layers, and data products)

Role : Key Focus on FS Data

• Extract and manage large datasets for the Banking Cards module using SQL

• Implement robust data cleansing routines to ensure accuracy and integrity. Conduct regular audits to maintain data quality across Snowflake and Databricks platforms

• Collaborate with cross-functional teams to deliver scalable data solutions

• Design optimized database schemas tailored for Banking Cards operations

• Innovate and recommend process improvements leveraging emerging technologies

• Data Quality Engineering: Designing and writing complex validation scripts to compare legacy reports side-by-side with new data products.

• Discrepancy Resolution: Investigating and explaining variances in data outputs, ensuring high data fidelity and quality.

• Advanced SQL: Querying, extracting, and analyzing large datasets across modern cloud data warehouses (like Snowflake) and legacy platforms