Jump Trading

Derivatives Quantitative Researcher | Trading Team

Jump Trading  •  $200k - $300k/yr  •  New York (Onsite)  •  3 hours ago
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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 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.

What You’ll Do:

The ideal person will apply math, statistics, and machine learning techniques to identify patterns and predict market signals in global derivatives space. Jump’s quantitative researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for best expression of our new ideas.

Other duties as assigned or needed.

Skills You’ll Need:

  • Proven experience in developing successful quantitative driven strategies
  • Strong market expertise in one of the following products: equity options, ADRs, ETFs, index
  • Demonstrable experience developing or working on fair value models
  • Deep understanding of derivatives market complexity, product structure and market mechanisms
  • Solid development skills in Python and/or C++
  • Master or PhD degree in applied mathematics, statistics, operations research, machine learning, physics, and science related subjects from top tier university
  • Reliable and predictable availability

Benefits

  • Discretionary bonus eligibility
  • Medical, dental, and vision insurance
  • HSA, FSA, and Dependent Care options
  • Employer Paid Group Term Life and AD&D Insurance
  • Voluntary Life & AD&D insurance
  • Paid vacation plus paid holidays
  • Retirement plan with employer match
  • Paid parental leave
  • Wellness Programs

Annual Base Salary Range
$200,000$300,000 USD
Jump Trading

About Jump Trading

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.

Industry
Finance & Insurance
Company Size
1,001-5,000 employees
Headquarters
Chicago, Illinois
Year Founded
Unknown
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