As a Quantitative Research Wholesale Credit Risk Modeling Associate within the Wholesale Credit team, you will design, analyze, and deliver quantitative models to support the firm’s Wholesale Credit Stress (CCAR, ICAAP, Risk Appetite) and loan loss reserves models. You will use statistical techniques & tools for building forecasting models, conduct back-testing and annual monitoring of the models. This role will provide you with the opportunity to work with other experienced Wholesale Credit Quantitative Researchers and business partners, enhancing your quantitative as well as business skills.
Job Responsibilities
- Work as a quantitative researcher to design and develop loss forecasting models for regulatory purposes, conduct back testing of the models and do model monitoring.
Minimum Skills, Experience and Qualifications
- You have a degree in Engineering, Financial Engineering, Computer Science, Mathematics, Sciences, Statistics, Econometrics, or other quantitative fields
- You have a strong background in the following topics – Calculus, Linear Algebra, Probability, and Statistics
- You have solid theoretical and practical knowledge of statistical methods and models: generalized linear models, time-series analysis, clustering, decision trees, logistic regression.
- You are experienced in handling large amount of panel data, and data cleaning/filtering.
- You demonstrate proficiency in at least one of the object-oriented programming languages, and are good at one of Python or C++
- Ability to solve problems creatively while working in a dynamic environment. Eagerness to learn about Credit Risk, Risk Parameters, Regulatory and Accounting concepts
- 3-5 years of relevant experience would be preferred.
Additional Skills, Experience and Qualifications
- Knowledge of Wholesale Credit products and experience in development of loss forecasting models for regulatory exercises
- Knowledge of different types of financial products and asset classes, options pricing theory, financial regulations, machine learning , or high-performance computing would be a plus
- Proven ability to develop collaborative relationships with key internal partners to achieve objectives and prioritizations
Beyond that, we are interested in the things that make you unique: personal qualities, outside interests and achievements beyond academia and professions that demonstrate the kind of person you are and the value you could bring to the team.
About UsJPMorganChase, one of the oldest financial institutions, offers 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. Our history spans over 200 years and today 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 place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Skills Required
- Degree in Engineering, Financial Engineering, Computer Science, Mathematics, Sciences, Statistics, Econometrics, or other quantitative field
- Strong background in Calculus, Linear Algebra, Probability, and Statistics
- Solid theoretical and practical knowledge of statistical methods and models (generalized linear models, time-series analysis, clustering, decision trees, logistic regression)
- Experience handling large panel datasets and data cleaning/filtering
- Proficiency in an object-oriented programming language and proficiency in Python or C++
- Ability to solve problems creatively and eagerness to learn credit risk, regulatory and accounting concepts
- 3-5 years of relevant experience
- Knowledge of wholesale credit products and loss forecasting model development for regulatory exercises
- Knowledge of different financial products, options pricing theory, financial regulations, machine learning, or high-performance computing
- Proven ability to develop collaborative relationships with internal partners
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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