Campus Quantitative Researcher (Intern)

Jump Trading

Applications Closed

Posted 5 months ago

Internship

Chicago, Illinois

In Person

Smart Summary

The quant research internship is a 10-week program focused on enhancing quantitative and programming skills while providing an experience similar to a full-time quant researcher role. Interns will develop predictive models and automated trading strategies, working on meaningful projects with mentorship from experienced professionals.

Jump Trading Group is looking for a Campus Quantitative Researcher Intern. The role requires outstanding skills in computer science, machine learning, statistics, and mathematics, as well as programming experience and an interest in financial markets. It is open to undergraduate and graduate students.

Must Have Skills for ATS

computer science

machine learning

statistics

mathematics

programming

C++

Python

financial markets

predictive models

statistical analysis

data mining

quantitative research

signal generation

Job Description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

About the Role: 

The quant research internship is an intensive 10-week program focused on enhancing your quantitative and programming skills, as well as helping you experience what it’s like to be a full-time quant researcher at Jump.

At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant researcher, quant trader, and quant developer. During our internship you will get training in all of these areas, with a focus on our research process for signal generation, machine learning, trading / market mechanics, C++, Python, and statistics. 

You will work with fellow interns to develop your own predictive models and automated trading strategies for live trading. Then you will have the opportunity to work with our trading teams on meaningful projects with real impact while receiving daily 1:1 mentorship from experienced quant researchers, traders, and developers. 

Other duties as assigned or needed.

Who Should Apply?

We are seeking the sharpest analytical minds from top undergraduate and graduate programs. 

Ideal candidates will have:

  • Outstanding skills in computer science, machine learning, statistics, and mathematics 
  • Competitive spirit and uncommon drive to learn and improve
  • Programming experience 
  • Appetite for risk-taking
  • Demonstrated interest in financial markets 

Reliable and predictable availability required.

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.

The estimated base salary for this role is $300,000 per year.

Jump Trading

For more than 25 years, Jump Trading has been home to people who see trading as the most fascinating problem in the world and want to solve it from every angle. Headquartered in Chicago with 13 offices across 8 countries, we operate across asset classes, time zones, and horizons. If it trades, we want to trade it. We are traders, engineers, and researchers working side by side to build the systems that move global markets. Our culture is built on curiosity, precision, and relentless iteration. We care deeply about impact, collaboration, and solving problems few ever get to see. At Jump Trading, AI and machine learning are central to how we trade and build. We design and deploy advanced models, infrastructure, and tools to operate at scale in high-stakes, adversarial environments. From low-latency systems to cutting-edge research, we push the boundaries of what is possible. We are also committed to the next generation of talent. Our student programs, from internships to our fully funded PhD Fellowships, provide hands-on experience, mentorship, and opportunities to do meaningful work. We support students at leading conferences worldwide and invite them to work with our teams on real-world challenges.

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