Financial Services (Banking)

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

Role : Key Focus on FS Operations and Transformations projects

•Basic to Intermediate level understanding or experience in Front, Middle or Back-office operations pertaining to Asset Management, Wealth Management and Banking clients

•Quick to adapt and open to working on varied FS engagements across FS sub-sectors and functional areas

•Experience of having worked in a consulting profile or advisory firms like Big 4 preferably on transformation projects

•Knowledge of Workiva tool will be an advantage

•Reconciliation & Validation

•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