Quantitative Trader, Trading Team

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.

The quantitative trading teams at Jump probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage 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:

As a Quantitative Trader, you will work closely with experienced Traders and Quantitative Researchers to provide strategy analysis, market knowledge, and technical horsepower. This role will allow you to do a deep dive into strategy performance, learn about how to debug challenging infrastructure issues, and ultimately fine-tune algorithmic strategies on-the-fly to ensure optimal performance in reaction to constantly changing markets. This may include other duties as assigned or needed. 

Skills You'll Need:

• Highly analytical mind - capable of thinking critically, identifying patterns and making decisions


• Inquisitive and self-driven - keen to dive into the complex world of HFT and find ways to improve the business


• Strong desire to learn about the financial markets (both microstructure and macro)


• 2+ years of programming / software engineering experience – Python preferred.


• Good understanding of Linux administration.


• Strong communication / written skills- able to travel and network within a global organization


• Reliable and predictable availability

 Bonus Points:

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  Statistics / Machine Learning