2025 - Corporate & Investment Bank - Markets Quantitative Research Analyst Program - Summer Internship - (London)

JP Morgan Chase Bank, National Association
London
1 year ago
Applications closed

Related Jobs

View all jobs

Forward-Deployed Data Scientist

Senior Forward-Deployed Data Scientist

Job Description

If you are ambitious and looking to apply what you've learned to real-world financial experience, then this is the role for you. In ever-changing global markets you'll spend your time exploring the sophisticated financial solutions we deliver across asset classes. The skills you develop and the professional network you build will serve as a solid foundation for your career. The program is an opportunity to take your career to the next level through hands-on experience, relevant skills training and valuable professional networking. Based on your individual achievements, those who successfully complete the program may receive offers of full-time employment.

Job Summary

As a 2025 Summer Intern in the Quantitative Research Analyst Program, you will join our Corporate and Investment Bank Markets team for a 9 week summer internship. Our Global Markets teams develop sophisticated solutions to help clients manage risk, increase returns and solve complex financial problems. We hold leadership positions across all major financial markets worldwide. This means you'll be part of a dynamic team, helping to solve a wide range of interesting business issues and will be challenged in your work every day. Expert instructors and J.P. Morgan professionals will teach you about our history, scale, and scope of our organization today and our ambitious plans for tomorrow. We'll teach you technical and practical skills that will help you hit the ground running.

Quantitative Research (QR) is an expert quantitative modeling group in J.P. Morgan, as well as an industry leader in financial engineering, data analytics, statistical modeling and portfolio management. In partnership with traders, marketers and risk managers across all products and regions, QR contributes to sales and client interactions, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making activities.

Job responsibilities

  • Develop and enhance models and algorithms, working with quants, technologists, traders, marketers, and risk managers
  • Calibrate parameters for models of market evolution, optimizing the pricing of financial instruments to increase market share, or managing the risk in existing portfolios
  • Work closely with trading desks to develop statistical arbitrage strategies and other quantitative trading models
  • Develop and maintain sophisticated mathematical models, cutting-edge methodologies, and infrastructure to value and hedge financial transactions ranging from mainstream flow products to complex derivative deals
  • Improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide



Required qualifications, capabilities and skills

  • Enrolled in a Bachelor's, or Master's program in a relevant field such as mathematics, statistics, physics, engineering, computer science or data science/machine learning, with expected graduation dateDecember 2025throughAugust 2026
  • Foundational knowledge of and proficiency in one or more programming languages - Python 2,3, C++
  • Analytical, quantitative and problem solving skills, as well as demonstrated research skills
  • Ability to thrive in a dynamic, collaborative work environment
  • Excellent interpretive skills and the ability to present findings to a non-technical audience
  • Commitment towards advancing a diverse and inclusive environment, Interest in global financial markets, excellent attention to detail, and ability to handle pressure and enjoy a collaborative environment


Preferred qualifications, capabilities and skills

  • Knowledge of options pricing theory, trading algorithms, or demonstrated interest in finance through coursework or prior experience
  • Confidence and initiative to take on responsibility and manage your own projects
  • Knowledge of machine learning / data science theory, techniques and tools



What's Next?

Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume is a way for us to initially get to know you, so it's important to complete all relevant application questions so we have as much information about you as possible.

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; your application will not be reviewed until these steps are completed. We strongly encourage you to complete these requirements and submit your application promptly.

We will be filling our classes on a rolling basis. We strongly encourage you to submit your application as early as possible before job postings close.

JPMorgan Chase is committed to creating an inclusive work environment that respects all people for their unique skills, backgrounds and professional experiences. We strive to hire qualified, diverse candidates, and we will provide reasonable accommodations for known disabilities.

Visit jpmorganchase.com/careers for upcoming events, career advice, our locations and more.

©2024 JPMorgan Chase & Co. JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.