Derivatives Quantitative Researcher | Trading Team at Jump Trading

<p>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.</p> <p data-renderer-start-pos="2993">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.</p> <p><strong>What You’ll Do: </strong></p> <p>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.</p> <p>Other duties as assigned or needed.&nbsp;</p> <p><strong>Skills You’ll Need:</strong></p> <ul> <li>Proven experience in developing successful quantitative driven strategies</li> <li>Strong market expertise in one of the following products: equity options, ADRs, ETFs, index</li> <li>Demonstrable experience developing or working on fair value models</li> <li>Deep understanding of derivatives market complexity, product structure and market mechanisms</li> <li>Solid development skills in Python and/or C++</li> <li>Master or PhD degree in applied mathematics, statistics, operations research, machine learning, physics, and science related subjects from top tier university</li> <li>Reliable and predictable availability</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong><span style="font-size: 14px;">Benefits</span></strong></p> <ul> <li style="font-size: 14px;"><span style="font-size: 14px;">Discretionary bonus eligibility </span></li> <li style="font-size: 14px;"><span style="font-size: 14px;">Medical, dental, and vision insurance</span></li> <li style="font-size: 14px;"><span style="font-size: 14px;">HSA, FSA, and Dependent Care options</span></li> <li style="font-size: 14px;"><span style="font-size: 14px;">Employer Paid Group Term Life and AD&amp;D Insurance</span></li> <li style="font-size: 14px;"><span style="font-size: 14px;">Voluntary Life &amp; AD&amp;D insurance</span></li> <li style="font-size: 14px;"><span style="font-size: 14px;">Paid vacation plus paid holidays</span></li> <li style="font-size: 14px;"><span style="font-size: 14px;">Retirement plan with employer match</span></li> <li style="font-size: 14px;"><span style="font-size: 14px;">Paid parental leave</span></li> <li style="font-size: 14px;"><span style="font-size: 14px;"><span style="font-size: 12px;"><span style="font-size: 14px;">Wellness Programs</span><br><br></span></span></li> </ul></div><div class="title">Annual Base Salary Range </div><div class="pay-range"><span>$200,000</span><span class="divider">&mdash;</span><span>$300,000 USD</span></div></div></div>