2022 Corporate & Investment Bank Markets Analyst Program – Summer Internship – Quantitative Research (New York)
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.
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.
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.
What To Expect
Quantitative Research (QR) is an expert quantitative modeling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, and portfolio management. As a global team, QR partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls.
Our mission is to 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, as well as improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide. We also work closely with trading desks to develop statistical arbitrage strategies and other quantitative trading models.
Throughout the internship, you’ll develop and enhance models and algorithms, working with quants, technologists, traders, marketers, and risk managers. On a given day, you may be calibrating parameters for models of market evolution, optimizing the pricing of financial instruments to increase market share, or managing the risk in existing portfolios.
A strong interest in global financial markets is essential, as are analytical and quantitative skills, flexibility, teamwork, excellent attention to detail, and the ability to handle pressure and enjoy a collaborative environment. A strong focus on science or engineering in your undergraduate studies is important.
Beyond that, what we’re most interested in are the things that make you, you: the personal qualities, outside interests, and achievements beyond academia that demonstrate the kind of person you are and the perspective you could bring to the team.
Key skills include:
• Analytical, quantitative and problem solving skills, as well as demonstrated research skills
• Computer programming experience such as use of python/C++/other programming languages
• Ability to thrive in a dynamic, collaborative work environment
• Being adaptable, flexible, and resilient
• Ability to quickly grasp new business concepts and adapt to rapidly changing business needs.
• Excellent interpretive skills and the ability to present findings to a non-technical audience
• Undergraduate degree in a relevant field such as mathematics, statistics, physics, engineering, computer science or data science/machine learning
• Enthusiastic about knowledge sharing and collaboration
• Commitment towards advancing a diverse and inclusive environment
• Attend college/university in the U.S.
• Minimum preferred cumulative GPA of 3.2 on a 4.0 scale
Additional desirable 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.
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’re passionate, curious and ready to make an impact, we’re looking for you.
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.
To start the application, you will be prompted to enter your email address. Your email address will be used to create and maintain your profile so make sure it is one you will have long term access to. Do not use an email address with “.edu” extension as doing so could result in delays receiving updates regarding your candidacy.
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 another email invitation to complete a coding challenge, powered by CodeVue.
CodeVue is required, and your application will not be considered for further review until you have completed it. We strongly encourage that you apply and complete these required elements as soon as possible, since programs will close as positions are filled.
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.
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