As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase solid and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgment to solve real-world challenges that impact our company, customers, and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo, and striving to be best-in-class.

In this role, you will be a key member of the Data Strategy Team within Wholesale Credit Risk Product team. You will collaborate with technology partners, subject matter experts, and stakeholders to develop and implement a comprehensive data strategy that ensures data integrity, quality, and accessibility across the organization.

Key Responsibilities:
- Define critical data elements across credit risk processes and applications.
- Build and maintain data dictionaries with standardized business definitions.
- Define ownership of data inputs, enrichment, changes, and outputs across processes.




- Standardize data operational models (inputs/enrichment) to achieve consistency across different Lines of Business (LOBs).
- Identify and define strategic sources of data.
- Identify data automation opportunities using systemic feeds or Large Language Models (LLMs); automate data enrichment where possible.
- Define schema for data assets and publish data lineage (data inputs, enrichment, and outputs).
- Establish a robust data quality program (business and technical DQ) to ensure data is fit for use across processes.
- Establish and monitor data level KPIs across products.
- Implement continuous data testing and refinement processes; utilize anomaly detection processes wherever possible.
- Address and remediate any regulatory requirements in collaboration with individual product teams.

Minimum Skills, Experience, and Qualifications:

We are looking for someone excited to join our organization. If you meet the mini

📌 CIB Risk Associate (Mumbai)
🏢 JPMC
📍 Mumbai