KPMG – Analyst
Job Description
KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
1. Ensure End-to-End Data Quality & Governance within investment management, asset management, or financial services.
2. Establish and maintain business validation rules for product data elements used in various investment products such as Bonds, Equity, Mutual Fund, Private Equity, Traded products
3. Collaborate with Data Quality teams to monitor completeness, accuracy, consistency, and timeliness of data across systems.
4. Maintain issue logs, drive root‑cause analysis, and oversee remediation to ensure clean data flows into IM tools and assets.
5. Support enforcement of enterprise data governance policies for product and performance data.
6. Establish data governance standards for product metadata, ensuring consistency across legacy systems and golden sources
7. Engage Data Owners & SMEs Across the Organization
8. Lead structured discussions with data owners, Product teams, Performance Reporting, Distribution, and Compliance to define and validate data definitions, lineage, and approved usage.
9. Build strong partnerships with data governance groups to ensure data requirements are embedded in enterprise data standards.
10. Manage change control process and participate in user acceptance testing (UAT) activities.
11. Implementation of data governance framework as a part of projects involved.
12. Identify and escalate issues in a timely manner.
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Responsibilities
3–5 years' experience in business, risk management, data governance, or data quality within financial services
Bachelor’s degree or higher in Business, Data, Technology, or related fields
Good understanding of Fund Management Services
Strong analytical skills; solid knowledge of data flows, lineage, controls, and data quality frameworks
Skilled in Excel for data analysis; Power BI or similar tools preferred
Experience designing and monitoring metrics, dashboards, and scorecards for data quality/risk
Third-party supplier management or related risk experience is a plus
Highly organized, detail-oriented, able to manage multiple priorities and risks
Curious, focused on root cause analysis and continuous improvement; constructively questions assumptions and supports effective collaboration.
Exercises sound judgment in identifying, escalating, and resolving risks/issues promptly
Project management skills and proficiency in MS Office (PowerPoint, Excel, Word) advantageous
