Risk Management -Wholesale Credit Risk Data Strategy– Associate

JPMorgan Chase & Co. • Plano, TX

7h

About The Position

As a Data Strategy  Associate, you are at the center of keeping JPMorgan Chase strong 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.

Requirements

• Bachelor’s Degree in a relevant field.
• Understanding of Credit Risk, Data Strategy, Data Management
• Strong, clear, and concise written and verbal communication skills with the ability to prepare executive-level 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, self-direction, and ability to work well under pressure.
• Strong data analysis, problem-solving, and project management skills.
• Demonstrated experience leading cross-functional data initiatives with multiple stakeholders.
• Ability to lead, drive consensus, and deliver in a matrix organization with multiple stakeholders.
• Experience using data and metrics to drive decisions.
• Proficiency in process re-engineering or similar.

Nice To Haves

• Experience within large Financial Services firms and basic level of domain knowledge in Credit Risk.
• Experience working with Technology and UX Design colleagues and discussing technical designs

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.

Benefits

• We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
• Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
• Additional details about total compensation and benefits will be provided during the hiring process.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees