Derivatives Quantitative Researcher | Trading Team

• 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's or PhD in applied mathematics, statistics, operations research, machine learning, physics, or a related science subject from a top-tier university
• Reliable and predictable availability

$200,000—$300,000 USD

• 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

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.