2025 - Corporate & Investment Bank - Markets Quantitative Research Analyst

at  JPMorgan Chase

New York, NY 10001, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate18 Feb, 2025USD 110000 Annual19 Nov, 2024N/AC++,Financial Markets,Finance,Statistics,Programming Languages,Physics,Computer Science,Mathematics,Collaborative EnvironmentNoNo
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Description:

2025 Quantitative Research Analyst & Associate Program - Corporate and Investment Bank - Markets - Summer Internship

SHORT JOB DESCRIPTION

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

JOB SUMMARY

As a 2025 Summer Intern in the Quantitative Research Analyst and Associate Program, you will join our Corporate and Investment Bank Markets team. 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.

JPMorgan Chase & Co. (NYSE: JPM) is a leading financial services firm with operations worldwide. With over 55,000 technologists globally and an annual tech spend of $15 billion, JPMorgan Chase is dedicated to innovating and improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Under the J.P. Morgan and Chase brands, the Firm serves millions of customers in the U.S., and many of the world’s most prominent corporate, institutional and government clients globally. Visit http://www.jpmorganchase.com/tech for more information.

  • Candidates will be eligible for Analyst or Associate programs based on their academic experience:
  • Candidates enrolled in a PhD program will be eligible for Associate level positions.
  • Candidates enrolled in a Bachelor’s or Master’s program will be eligible for Analyst level positions.
  • Candidates eligible for Associate programs are expected to demonstrate advanced proficiency in any programming language.

REQUIRED QUALIFICATIONS, CAPABILITIES AND SKILLS

  • Attend college/university in the U.S.
  • Enrolled in a Bachelor’s, Master’s or a PhD program in a relevant field such as mathematics, statistics, physics, engineering, computer science or data science/machine learning, with expected graduation date December 2025 through August 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

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


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Financial Services

Accounts / Finance / Tax / CS / Audit

Finance

Graduate

Computer Science, Engineering, Mathematics, Relevant Field, Statistics

Proficient

1

New York, NY 10001, USA