Quantitative Research Data Engineer- Associate

Exciting Opportunity: Join Our Growing Team as a Quantitative Research Data Engineering Associate

Are you eager to dive into a dynamic and fast-paced environment? We are offering a unique opportunity to collaborate with our team and partner with the Business to gain a comprehensive view. Join us as a Quantitative Research Data Engineering Associate and be a part of the Wholesale Credit Data QR team.

About the Role

As a member of our team, your mission will be to design, analyze, and deliver firm-wide data to support Wholesale Credit Stress (CCAR, ICAAP, Risk Appetite) and Loan Loss Reserves models. You will focus on data model definition and the evolution of our Data Dictionary to enable deep data analysis and analytical explorations. You will work to enhance our frameworks, data platforms, and related tools to facilitate the integration of pricing and forecast models and improve our framework's flexibility, scalability, and performance.

Job Responsibilities

• Work as a data engineer to create or build data pipelines, define APIs to source data from different systems, perform complex data transformations, and optimize end-to-end run.
• Write business requirements in the form of JIRA epics & user stories to develop data and system requirements for the credit risk modeling platform.
• Perform data analysis to support model development and analytics.
• Collaborate with various business lines and risk modelers to understand models for BASEL, CCAR, CECL, and other credit risk models.
• Elicit, analyze, refine, and document business process and data requirements with multiple stakeholders.
• Engage through the entire Software Development Life Cycle (SDLC), including planning, analysis, and testing of new applications and enhancements.
• Perform user acceptance testing and deliver demos to stakeholders using SQL queries or Python scripts.

Required Qualifications, Capabilities, and Skills

• Bachelor’s or Master’s degree in Computer Science, Data Analytics, or equivalent discipline with 3+ years of data engineering experience in financial services.
• Proficiency in data analysis and manipulation using SQL, Python, object-oriented programming, and MS Excel. Strong analytical skills for forecasting and interpreting results, and a comfort level with handling large datasets.
• Experience in building data architecture to source data from different systems, handling complex transformations, and optimizing end-to-end solutions.
• Creative problem-solving abilities, eagerness to learn about Credit Risk, Risk Parameters, Regulatory, and Accounting concepts.
• Detail-oriented with strong organizational skills and excellent communication abilities, both written and oral.
• Experience implementing analytics frameworks in finance and knowledge of source control, automated build/test systems, code coverage, unit testing, and release processes.

Preferred Qualifications, Capabilities, and Skills

• Experience in software engineering to build data architecture using Python, object-oriented programming, SQL, etc.
• Knowledge of Wholesale Credit, CCAR, Allowance (IFRS 9/CECL), Basel II/III regulatory capital.
• Proven ability to develop collaborative relationships with key internal partners to achieve objectives and prioritizations.

About JPMorgan Chase & Co.

JPMorgan Chase & Co. is one of the oldest financial institutions, offering innovative financial solutions to millions of consumers, small businesses, and many of the world’s most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. With a history spanning over 200 years, we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.

We value our people and the diverse talents they bring to our global workforce, directly linking them to our success. As an equal opportunity employer, we place high value on diversity and inclusion, and do not discriminate based on any protected attribute. We also provide reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

For more information about requesting an accommodation, please visit our .

Company Name: JPMorgan Chase & Co.
Job Title: Quantitative Research Data Engineer - Associate