Campus AI Researcher, PhD/Postdoc (Full-Time)

Trading Interview; Greater London; On-site; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Private Medical Insurance

Travel Medical Insurance

Life Assurance and Income Protection

Parking and Commuter Benefits

Job summary

Jump Trading Group is seeking a research scientist to apply machine learning to complex trading problems, from concept to production. The ideal candidate will implement open-ended research projects, improve models, tools, and infrastructure, and work with traders and researchers to push the boundaries of quantitative research.

You should have a strong publication record, deep learning experience (e.g., transformers), Python and/or C++, and familiarity with ML frameworks.

Qualifications

• Strong publication record at top ML venues or contributions to open-source AI research.
• Deep learning background with exposure to modern architectures (e.g. transformers).
• Solid development skills in Python and/or C++.
• Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX.

Responsibilities

• Apply ML to trading problems and take research from concept to production.
• Improve models, tooling, and infrastructure through iterative experimentation.
• Collaborate with trading researchers to align research with monetization processes.

Skills

Publication record

ML expertise

Python/C++ development

collaboration

trading domain awareness

communication

reliability

Tools

PyTorch

TensorFlow

JAX

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

Benefits include:

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Life Assurance and Income Protection Schemes
• Parking and Commuter Benefits

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…