Join Our Team as a Quantitative Research Data Engineering Vice President

Are you seeking an exciting opportunity to become part of a dynamic and growing team in a fast-paced and challenging environment? This unique role offers you the chance to collaborate with our business partners and provide a comprehensive data perspective.

About the Role

As a Quantitative Research Data Engineering Vice President, you will be a senior member of our Wholesale Credit Data QR team. The team's mission is to design, analyze, and deliver firm-wide data to support the firm’s Wholesale Credit Stress (CCAR, ICAAP, Risk Appetite) and Loan Loss Reserves models. For this role, the focus is on data model definition, evolving the Data Dictionary to facilitate in-depth data analysis, and conducting analytical explorations.

Your responsibilities will include enhancing our frameworks, underlying data platforms, and related tools to improve integration ease for pricing and forecast models, as well as improving scalability and performance. You will work closely with experienced Wholesale Credit model developers, business partners, and provide guidance to junior team members.

Key Responsibilities

• Work as a data engineer to create or build data pipelines, define APIs to source data from different systems, perform complex transformations or enhancements to data, and optimize end-to-end runs.
• Perform data analysis to support model development and analytics.
• Liaise with various lines of business and risk modelers to thoroughly understand various models for BASEL, CCAR, CECL, and other credit risk models.
• Work with multiple stakeholders to elicit, analyze, refine, and document business processes and data requirements.
• Collaborate through the entire Software Development Life Cycle (SDLC) including planning, analysis, and testing of new applications and enhancements to existing applications.
• 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 an equivalent discipline. Minimum of 7 years of experience in a data engineering role within financial services or data analytics, focused on handling large datasets and similar frameworks.
• Proficiency in data analysis and data manipulation skills using SQL, Python, object-oriented programming, and MS Excel.
• Strong analytical skills in forecasting and interpreting results, with comfort in working with large quantities of data.
• Experience in building data architecture to source data from various systems, handling complex transformations, and optimizing end-to-end solutions.
• Creative problem-solving abilities in a dynamic and challenging environment with tight deadlines. Eagerness to learn about Credit Risk, Risk Parameters, and Regulatory and Accounting concepts.
• Detail-oriented with strong organizational skills. Excellent written and oral communication abilities.
• Experience in implementing analytics frameworks in finance. Familiarity with 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 based on Python, object-oriented programming, SQL, etc.
• Knowledge of Wholesale Credit, CCAR, Allowance (IFRS 9/CECL), and Basel II/III regulatory capital.
• Proven ability to develop collaborative relationships with key internal partners to achieve objectives and prioritize tasks.

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 over 200 years of history, we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.

We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and highly value diversity and inclusion. We do not discriminate based on any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy, or disability. We also provide reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

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