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: 

We build predictive models from massive datasets and develop algorithms to automatically execute trades in financial exchanges around the world. 

At Jump you will have the opportunity to contribute in a blend of three roles quant researcher / data scientist, trader, and software developer based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump.

You will start by completing a training program focused on enhancing your knowledge of trading, programming, and quant research. The training consists of in-house courses and trading simulation developed and delivered by experienced quant researchers, traders, and developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as trading / market mechanics, statistics, python, C++, machine learning, and our research process.

You will then work alongside our trading teams to leverage our world-class compute environment to build predictive models and devise automated trading strategies across global markets.

Other duties as assigned or needed.

Who Should Apply?

We are seeking the sharpest analytical minds from top the graduate programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.).  

No prior knowledge of finance or trading is necessary. We will give you the training that you need. 

Although we strongly value training in Computer Science and Mathematics, we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering, Statistics, Physics, Operations Research, Neuroscience, Materials Science, and more.

If you have outstanding skills in math and programming and you are curious about the challenge of improving research with continuous feedback from competitive markets, we hope youll apply.  

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.