Quantitative Researcher | Trading Team

Posted Yesterday
Be an Early Applicant
New York City, NY, USA
In-Office
250K-300K Annually
Senior level
Financial Services
The Role
Quantitative Researchers analyze diverse data sets to uncover market patterns and develop forecasts for equity markets within a collaborative trading environment.
Summary Generated by Built In

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.

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
$250,000$300,000 USD

Skills Required

  • Undergraduate and graduate work in Computer Science, Statistics, Physics, Mathematics or adjacent fields
  • Expertise in C++ and Python
  • Prior experience in stat arb equities, including feature creation and portfolio optimization

Jump Trading Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Jump Trading Group and has not been reviewed or approved by Jump Trading Group.

  • Career-Linked Recognition & Rewards Pay is considered very competitive for revenue‑adjacent and technical roles, with strong total packages when team performance is solid. Compensation structures align outcomes closely with impact, creating high satisfaction on strong desks.
  • Healthcare Strength Health coverage is described as comprehensive across medical, dental, and vision, with wellness programs and employer‑paid life/AD&D also highlighted. These offerings are portrayed as robust and compare favorably with similar employers.
  • Retirement Support A 401(k) with employer match is repeatedly noted, with mentions of a pension as well. Together these indicate strong retirement backing relative to many employers.

Jump Trading Group Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Chicago, Illinois
1,488 Employees
Year Founded: 1999

What We Do

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.

Similar Jobs

In-Office
Manhattan, NY, USA
4109 Employees
180K-200K Annually

Domino Data Lab Logo Domino Data Lab

Team Lead

Artificial Intelligence • Machine Learning
Easy Apply
Remote or Hybrid
US
200 Employees
175K-220K Annually

Domino Data Lab Logo Domino Data Lab

Staff Software Engineer

Artificial Intelligence • Machine Learning
Easy Apply
Remote or Hybrid
US
200 Employees
200K-250K Annually

Domino Data Lab Logo Domino Data Lab

Solutions Engineer

Artificial Intelligence • Machine Learning
Easy Apply
Remote or Hybrid
US
200 Employees
200K-250K Annually

Similar Companies Hiring

Granted Thumbnail
Mobile • Insurance • Healthtech • Financial Services • Artificial Intelligence
New York, New York
23 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
31 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account