JPMorgan Quantitative Analytics Summer Associate Program 

United States, New York, New York 

89189728

Job Summary

As a Summer Associate in the 2025 Quantitative Analytics Associate Program, you will embark on a journey of professional growth and development. The program begins in June, tailored to your academic schedule. We will support your development throughout the internship with project work that aligns with your academic and professional interests, mentorship, and engaging speaker series with our senior leaders. Upon successful completion of the program, we may extend full-time employment offers to you.

Quantitative Balance Sheet Strategy (QBSS)

The scope of our quantitative analytics efforts spans the entire Firm’s balance sheet which is one of the largest commercial bank balance sheets in the world. This includes management of ~$0.5T cash holdings, ~$1.3T loans, ~$0.6T investment portfolio, ~$2.4T deposits and ~$0.6T funding and capital position.

Consumer Credit Banking (CCB)

Model Risk Governance Review (MRGR)

MRGR is composed of six distinct units as follows:

• CIB Trading MRGR – Responsible for all front office pricing and valuation models in CIB, in addition to models used for e-trading.
• CIB ex-trading and CB MRGR – Responsible for VaR and Market Risk Capital, Counterparty Credit Risk and XVA, Wholesale Loss Forecasting and CIB Data Science.
• CCB MRGR – Responsible for CCB models.
• AWM and CTC MRGR – Responsible for AWM, CIO, Treasury and Corporate including deposit and SIRR models, MEVs, compliance models and other corporate models.
• MRGR COO – Responsible for MRGR operational processes, technology, review strategy and planning, project management of audits and regulatory commitments, and reporting.
• Policy, Practice and Governance – Responsible for policies, procedures, standards, and cross-LOB governance activities.

Job Responsibilities

• Work collaboratively across the entire organization to find and solve problems before they grow
• Propose innovative ways to solve challenges and answer queries
• Work on complex problems that require creative solutions
• Manage relationships with clients, regulators and stakeholders to minimize risks and follow laws in various locations

Required qualifications, capabilities and skills

• Enrolled in a Ph.D. or Master’s degree program in Engineering, Mathematics, Physics, Computer Science, etc. with an expected graduation date of December 2025 through August 2026
• Demonstrate quantitative and problem solving skills as well as research ability
• Ability to communicate concepts and ideas, both verbally and via documentation, and explain technical material to a non-technical audience
• Knowledge of and proficiency in Python 2, Python 3, C, C++

Preferred qualifications, capabilities and skills

• Understanding of advanced mathematics arising in financial modelling (probability theory, stochastic calculus, partial differential equations, numerical analysis, statistics, econometrics)
• Knowledge of options pricing theory, trading algorithms or financial regulations

After you confirm your application, we will review it to determine whether you meet certain required qualifications.

If you are advanced to the next step of the process, you’ll receive an email invitation to complete a coding challenge powered by HackerRank and a recorded video interview powered by HireVue. This is your opportunity to further bring your resume to life and showcase your experience for our recruiting team and hiring managers.

HackerRank and HireVue are required, and your application will not be considered for further review until you have completed these steps. We strongly encourage that you apply and complete these required elements as soon as possible, since programs will close as positions are filled.

Applications will be reviewed on a rolling basis. We strongly encourage you to submit your application as early as possible as programs will close once positions are filled.