DescriptionJoin JPMorgan Chases Risk Management and Compliance team where you will be at the forefront of keeping the firm strong and resilient. As part of our team you will help grow the business responsibly by anticipating new and emerging risks and using your expert judgment to solve realworld challenges impacting our company customers and communities. Our culture is all about thinking outside the box challenging the status quo and striving to be bestinclass.
As a key member of the Data Strategy Team within the Wholesale Credit Risk Product team you will collaborate with product and technology partners subject matter experts and stakeholders to develop and implement a comprehensive data strategy. Your work will ensure data integrity quality and accessibility across the organization driving innovation and excellence in credit risk management.
Job 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 models and operating models to achieve consistency across teams.
- Identify and define strategic sources of data understanding product use cases and credit risk processes.
- Analyze datasets for completeness and data quality issues.
- Identify data automation opportunities using systemic feeds or Large Language Models (LLMs).
- Collaborate with multiple teams for strategic data sourcing avoiding duplication in processes.
- Define schema for data assets and publish data lineage.
- Establish a robust data quality program to ensure data is fit for use.
- Establish and monitor data level KPIs across products.
Required Qualifications Capabilities and Skills
- Bachelors Degree in a relevant field.
- 7 years of relevant work experience in Credit Risk Data Strategy Data Management Data Analytics or related capacity.
- Strong written and verbal communication skills with the ability to prepare executivelevel communications.
- Excellent organizational skills and attention to detail; able to manage competing priorities under tight deadlines.
- Proven ability to collaborate and build strong partnerships.
- Intellectual curiosity with a proven ability to learn quickly.
- High degree of initiative selfdirection and ability to work well under pressure.
- Strong data analysis problemsolving and project management skills.
- Experience leading crossfunctional data initiatives with multiple stakeholders.
- Ability to lead drive consensus and deliver in a matrix organization.
- Experience using data and metrics to drive decisions.
Preferred Qualifications Capabilities and Skills
- Experience within large Financial Services firms and basic domain knowledge in Credit Risk.
- SQL capabilities and Python scripting capabilities for analyzing datasets.
- Certified Agile Practitioner (CSP) or Certified Scrum Master (CSM).
Required Experience:
Chief