Credit Risk Data Product Lead – Credit Risk 360

JPMorganChase • Fort Worth, TX

7h

About The Position

Join a forward-thinking team at JPMorgan Chase, where your expertise in data architecture and cloud technologies will help shape the future of credit risk management. As the Credit Risk Data Product Lead within a forward-thinking team at JPMorgan Chase, you will be at the forefront of building and implementing robust, scalable data assets and consumption models within a centralized Databricks infrastructure. You’ll collaborate across teams to deliver innovative solutions that serve as the “single version of truth” for credit risk data, empowering the organization to make informed decisions.

Requirements

• 5+ years of experience in data architecture, database programming, or related roles within financial services, risk, or consulting.
• Advanced proficiency in SQL and database programming; strong experience with Databricks, cloud data platforms (e.g., Snowflake, AWS Redshift), and ETL development.
• Proficiency in Python for data analysis and automation.
• Experience with Microsoft Office products, especially Excel and PowerPoint, for reporting, analysis, and presentations.
• Demonstrated expertise in data modeling, data governance, and data quality management.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into scalable technical solutions.
• Excellent communication skills, capable of conveying complex technical concepts to both technical and non-technical audiences.

Nice To Haves

• Prior experience in credit risk, risk management, or compliance functions.
• Exposure to regulatory reporting requirements.
• Experience with Alteryx.
• Relevant certifications (e.g., Databricks, AWS).

Responsibilities

• Lead the migration, integration, and management of credit risk data within a modern data mesh framework on Databricks.
• Design, build, and maintain ETL pipelines and advanced SQL logic for materialized database views and unified consumption models.
• Partner with data product owners and downstream teams to understand data availability, manage change requests, and deliver business-driven enhancements.
• Contribute to data distribution, syndication, and governance activities, including documentation, data dictionaries, and quality controls.
• Collaborate with analytics teams to enable advanced analytics and business intelligence initiatives.
• Act as a second line of defense for data quality, identifying and resolving data-related production issues.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed