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30 Jump Trading Network Engineer Jobs Hiring Near You

Jump Trading

HPC Production Engineer

Chicago, IL · On-site

Jump Trading Group is committed to world class research. We empower exceptional talents in ... Monitor systems and storage performance, up to and including network components * Build tooling to ...

Jump Trading

HPC Production Engineer

Chicago, IL · On-site

$150K - $200K/yr

Jump Trading Group is committed to world class research. We empower exceptional talents in ... Monitor systems and storage performance, up to and including network components * Build tooling to ...

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Infographic showing various Network Engineer job openings at Jump Trading in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.
Quantitative Researcher | Trading Team

Quantitative Researcher | Trading Team

Jump Trading

New York, NY • On-site

Other

Posted 13 hours ago

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 incentivizing 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.

At Jump, we bring together world class talent, battle tested infrastructure, and serious research intensity to build and scale trading strategies across every asset class and time horizon. Equities as an asset class is competitive, global and fast growing, and we participate in the world's equity markets via a vast array of businesses. Researchers coalesce around projects that may be market specific (investigating eccentricities and opportunities in specific venues or regions), latency specific (HF vs. Mid or Low Frequency), and research approach (ML vs. Deep Learning vs. hand crafted alphas; or groups focused on different swaths of data sets requiring deep expertise and focus). Our environment is a collaborative one, seeking to strike the balance between deep focus and expertise where needed, and the freedom to chase ideas across boundaries. Hierarchy and compartmentalization are not what we are about.
 
We are looking for experienced Quantitative Researchers to join a "mixed frequency" research group (horizons range from many minutes to many days). It's a flat, fast moving, collaborative environment where each member has agency, and of whom much is expected. The team is global as is the research. For experienced candidates, we are interested in prior work in portfolio trading and experience in a direct market access environment.
 
What You'll Do:
 
Quantitative Researchers collect and analyze tens of thousands of data sets (some clean, some noisy, some very noisy), identify patterns and develop insights into market complexities. In this case, those insights manifest in the form of forecasts to be realized in equity markets.
 
Skills You'll Need:
  • Creativity. Seeing things where others do not requires creativity and a willingness to try new things in ways others may not have thought of, yet.
  • Resilience. Successful research is the result of lots of failure, and intellectual risk taking.
  • STEM Research foundations: Undergraduate and graduate work in Computer Science, Statistics, Physics, Mathematics (or adjacent)
  • Our work welcomes expertise in C++ and Python...either works...and both is better. Applied programming skills in our research teams means breaking down data sets, and machine learning.
  • Prior experience in stat arb equities: all disciplines in new feature creation, portfolio construction and optimization, and execution are relevant and attractive.

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