Campus Quantitative Researcher, UG/MS (Intern)

Jump Trading; Chicago (IL); On-site; USD 270,000 - 330,000; Full time

Job summary

Jump Trading Group offers a rigorous 10-week quant research internship in Chicago, focused on expanding quantitative and programming skills and exposing you to what it’s like to be a full-time quant researcher. You’ll learn signal generation, machine learning, trading mechanics, C++, Python, and statistics with daily mentorship from senior staff.

Internship participants will develop predictive models and automated strategies, collaborating with trading teams on projects that have real market

Qualifications

• Top undergraduate or graduate candidates in quantitative fields.
• Strong skills in math, statistics, and programming.
• Demonstrated interest in financial markets.
• Reliable and available for a 10-week internship.

Responsibilities

• Join a 10-week quant research internship.
• Receive mentorship from experienced researchers and traders.
• Develop predictive models and automated trading strategies.
• Work with trading teams on real-world projects.

Skills

Computer science

Machine learning

Statistics

Mathematics

Programming

Risk-taking

Interest in financial markets

Education

Undergraduate or graduate program in a quantitative field

Tools

C++

Python

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.

What You’ll Do:

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.

Skills You’ll Need:

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.