Campus AI Researcher, PhD/Postdoc (Full-Time)
Jump Trading · Not provided by source
MeritLog read this listing from Jump Trading's Greenhouse job board and last checked it on September 12, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- Not provided by source
- Salary
- Not listed by source
- Location
- London
Hiring context
How this role compares at Jump Trading
Jump Trading has 107 live roles in MeritLog’s catalog across 6 job families, and 44 of them are in data & analytics. 37 of those listings publish a pay range, a disclosure rate of 35%.
Jump Trading concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What they're asking for
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI researchSkill
- Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)Skill
- Solid development skills in Python and/or C++Skill
- Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAXSkill
- Intellectual curiosity, versatility, and originality combined with a pragmatic outlookSkill
- Ability to thrive in a collaborative, team-oriented environmentSkill
- Ability to reason through quantitative problems and communicate effectively with trading researchersSkill
- Reliable and predictable availability requiredSkill
- Experience with HPC and distributed large model trainingSkillPreferred
- Experience with GPU performance optimisation (CUDA or ROCm)SkillPreferred
- Experience with end-to-end model developmentSkillPreferred
- Strong opinions on best practices in ML research, tooling, and/or infrastructureSkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
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 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. 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 will do: We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition. Other duties as assigned or needed. Skills You’ll Need: • Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research • Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs) • Solid development skills in Python and/or C++ • Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX • Intellectual curiosity, versatility, and originality combined with a pragmatic outlook • Ability to thrive in a collaborative, team-oriented environment • Ability to reason through quantitative problems and communicate effectively with trading researchers • Reliable and predictable availability required Bonus Points • Experience with HPC and distributed large model training • Experience with GPU performance optimisation (CUDA or ROCm) • Experience with end-to-end model development • Strong opinions on best practices in ML research, tooling, and/or infrastructure INTERNATIONAL STUDENTS are encouraged to apply. Benefits include: • Private Medical, Vision and Dental Insurance • Travel Medical Insurance • Group Pension Scheme • Group Life Assurance and Income Protection Schemes • Paid Parental Leave • Parking and Commuter Benefits
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