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 g…
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Full-time
Private Medical Insurance, Vision Insurance, Dental Insurance, Travel Medical Insurance, Group Pension Scheme, Group Life Assurance
Visa sponsorship available
Posted 4d ago
~40 hrs/week
Responsibilities
Build and optimize state-of-the-art ML systems and training pipelines for quantitative finance. Collaborate with researchers and quants to integrate ML models into low-latency production environments.
Requirements
Requires proficiency in Python or C++ and deep learning libraries like PyTorch or JAX. Expertise in GPU programming and experience with large-scale ML systems is highly desired.
Full 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.
We are seeking world-class engineers to collaborate with our research, trading, engineering teams to build state-of-the-art ML systems that solve some of the most complex problems in quantitative finance. Whether optimizing training pipelines on high-performance computing clusters, developing low-latency inference systems, or pushing the boundaries of AI research from concept to production, you'll have the opportunity to work on impactful projects in a fast-paced, collaborative environment. If you are driven by technical challenges, eager to work with large-scale systems, and passionate about advancing ML capabilities, we want to meet you.
What you'll do:
Apply state-of-the-art techniques to complex and challenging domains.
Work closely with researchers and quants to build flexible and reusable frameworks for financial ML.
Optimize training pipelines to make the best use of our HPC resources.
Integrate ML models into production systems where latency matters.
Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages.
Build large scale ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research.
Other duties as assigned or needed.
Skills you'll need:
This role covers a wide gamut of potential projects and skills. We don't expect everyone to have all of these, but for the applicable areas we are looking for deep technical expertise.
Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
Proficiency in Python and/or C++
Proficiency in Pytorch, JAX, Tensorflow or other DL library.
Ability to thrive in a collaborative, team-oriented environment
Expertise in GPU or Accelerator programming (CUDA, Triton, SYCL, ROCm or equivalent)
Experience building ML systems at large scale (hundreds of TBs of training data, low latency or high throughput inference requirements)
Excellent written and verbal communication skills in English
Reliable and predictable availability required
INTERNATIONAL STUDENTS are encouraged to apply. We sponsor work visas for full-time positions.
Benefits include:
Private Medical, Vision and Dental Insurance
Travel Medical Insurance
Group Pension Scheme
Group Life Assurance and Income Protection Schemes
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.
Offices: 600 W Chicago Ave, Suite 600, Chicago, Illinois 60654, US · One London Wall, 11th Floor, London, London EC2Y 5EA, GB · Ocean Financial Center, 10 Collyer Quay - Level 40, Singapore, 049315, SG · 15 E. 26th Street, 2nd Floor, New York, NY 10010, US · Claude Debussylaan 17, 1082MC, Amsterdam, Netherlands 1082, NL
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