Senior - Market Risk

Description

About  KPMG India

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.

Roles And Responsibilities

1. Review, analyze, and resolve data quality issues across IM Data Architecture
2. Coordinate with data owners and other teams to identify root-cause of data quality issues and implement solutions.
3. Coordinate the onboarding of data from various internal / external sources into the central repository. 
4. Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules. Work with IT on enhancing DQ controls.
5. End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance.
6. Interact with business stakeholders to identify, prioritize, and address data-related needs and issues.
7. Document business requirements and use cases for data-related projects. 
8. Manage change control process and participate in user acceptance testing (UAT) activities.
9. Implementation of data governance framework as a part of projects involved.
10. Identify and escalate issues in a timely manner.
11. Support other DAG initiatives.

Key Skills 

1. Ability to interact with business and technology teams to understand processes and data usage. 
2. Capable of driving multiple projects alone
3. Ability to do data analysis and trace data lineage
4. Capable of working across organization and as part of a cross-functional virtual team. 
5. Ability to work and think independently, but within a team-based approach.
6. Problem solver, self-starter, ability to work through an entire issue lifecycle. Ability to effectively prioritize and multi-task.
7. Strong communication skills

Key qualifications 

1. Bachelor’s Degree/ Master's required and any other relevant academic course a plus.
2. Strong domain knowledge of investment banking data
3. 5+ years of data management, data analytics, and data governance experience in financial services
4. Experience in data analysis and profiling using SQL is a must
5. Knowledge in coding, Python is a plus. 
6. Experience working with BI reporting tools like Tableau, Power BI is preferred

Qualifications

B.Tech, MBA