About the position
Join JPMorgan Chase's 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 real-world challenges impacting our company, customers, and communities. Our culture is all about thinking outside the box, challenging the status quo, and striving to be best-in-class. 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.
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.
- Analyze datasets for completeness and DQ issues using exploratory data analysis skills.
- 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.
Requirements
- Bachelor’s Degree in a relevant field.
- 3+ years of relevant work experience in Credit Risk, Data Strategy, Data Management, Data Analytics, Business Analyst or related capacity.
- Strong SQL knowledge and ability to analyze datasets.
- Strong 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.
- Experience leading cross-functional data initiatives with multiple stakeholders.
- Ability to lead, drive consensus, and deliver in a matrix organization.
Nice-to-haves
- Experience within large Financial Services firms and basic domain knowledge in Credit Risk.
- Python scripting capabilities for analyzing datasets are a plus.
- Certified Agile Practitioner (CSP) or Certified Scrum Master (CSM).
