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

Requirements

Must-haves

Other duties as assigned or needed.
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

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

machine learningpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Parental Leave

Wellness