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:
Bonus Points:
Statistics / Machine Learning
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.
