freehire launches on Product Hunt on 26 August.

Follow →

Campus Quantitative Trader (Intern)

Open 35d posting dated 3 weeks ago

Summary

Interns analyze financial markets, develop predictive trading models, and collaborate with quant researchers and developers using math, stats, and programming.

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 trading internship is an intensive 10-week program focused on enhancing your trading aptitude and understanding of financial markets, as well as helping you experience what it’s like to be a full-time quant trader at Jump.

At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant trader, quant researcher, and quant developer. During our internship you will get training in all of these areas, with a focus in trading and financial markets. Topics include trading strategies and intuition, market mechanics, statistics, and our research process for signal generation.

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 traders, researchers, and developers. You will also participate in mock trading sessions, poker training, and other modules designed to improve probabilistic thinking, risk-taking, and trader mindset.

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 probabilistic thinking and mathematical reasoning
  • 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.

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location

  • Which is your preferred location? choose one
  • LinkedIn Profile optional
  • Non-compete/Notice period comments
  • Review our Notice at Collection to learn how we will process your personal data. choose any
  • Will you require sponsorship for work authorization in the future? choose one
  • Please select your current school from the list below: choose one
  • What degree are you currently pursuing? choose any
  • What is your expected graduation date? choose one
  • Do you currently have any offers from other firms or deadlines we should be aware of? choose one
  • If you said yes above, please tell us about your offers and deadlines. optional
  • Other than the location posted for this role, please indicate which other locations you are interested in relocating to: choose any · optional
  • How did you hear about us? choose one · optional
  • If you selected "Other" above, please specify: optional

See also

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available