2025 Quantitative Analytics Summer Associate Program

2025 Quantitative Analytics Associate Program -  Summer Associate

Short Job Description
We are looking for innovative problem-solvers with a passion for developing complex solutions that support our global business. 

Intro Marketing Language 

At JPMorgan Chase, we’re creating positive change for the diverse communities we serve. We do this by championing your innovative ideas through a supportive culture that helps you every step of the way as you build your career. If you are passionate, curious and ready to make an impact, we are looking for you. Spend your internship working alongside our top tier professionals, driving innovation through financial engineering, derivatives modeling, asset and liability management and risk management. You'll help develop or validate mathematical models, methodologies and tools used throughout the firm while gaining in-depth insight into the world of risk modeling, investment banking and the financial services industry. 

Job Summary

As an Associate in the 2025 Summer Internship Program, you will be joining the Quantitative Analytics Associate Program. Summer Associate Internship Program begins in June, depending on your academic schedule. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, engaging speaker series with senior leaders and more. Full-time employment offers may be extended upon successful completion of the program.

About our Teams
Our quantitative analytics teams cover a wide variety of skillsets and projects across JPMorgan Chase. Please take a look at each group below to gain a better understanding of which skillsets and groups align best for you.

 

Wholesale Credit

The Wholesale Credit Quantitative Research team is responsible for developing and implementing forecasting and credit rating models across wholesale businesses. The team works across the Commercial & Investment Banking, Consumer & Business Banking  Bank and Asset Management, and will be partner with other functions including Risk, Finance, Model Risk & Development, Technology, and the Regulatory Capital Management Office. The models and research developed by the team is leveraged for external by the firm’s risk and finance functions to measure and monitor various trends related to wholesale credit risk.

Quantitative Balance Sheet Strategy (QBSS)

QBSS is a firm-wide community of teams responsible for best-in-class quantitative analytics supporting JPM’s Corporate Treasury efforts around the Firm’s Asset & Liability Management (ALM) and balance sheet strategy. 

QBSS consists of several teams which include ALM, Research, Capital strategy and Liquidity strategy teams with Treasury and Chief Investment Office (TCIO) as well as Quantitative Analytics and Strategy teams within Treasury teams of the Firm’s Lines of Business (LOBs).

The Firm’s ALM and balance sheet strategy efforts supported by QBSS include interest rate risk modelling, internal transfer pricing and capital allocation frameworks, industry leading research on financial money flow, investment portfolio strategy, firm-wide balance sheet optimization efforts and surveillance of balance sheet strategy trends across the banking industry.

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)

CCB businesses rely on model: (1) to decision new credit applications or additional credit request; (2) to assist in efficient fraud detection; (3) to quantify loss reserve and to estimate future credit loss. CCB Risk Modeling is responsible for developing those models based on internal/external historical data.

Model Risk Governance Review (MRGR)

Model Risk Governance and Review (MRGR) provides oversight of the firmwide Model Risk policy, guidance with respect to a model's appropriate usage, and conducts independent reviews of models across the firm.

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 mode