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

P2P; Greater London; On-site; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Private Medical Insurance

Vision and Dental Insurance

Pension Scheme

Life Assurance and Income Protection

Paid Parental Leave

Job summary

Jump Trading Group seeks research scientists to apply machine learning to complex domains in global financial markets. You will lead open-ended projects from concept to production, iterating to improve model design, tooling, and infrastructure.

Ideal candidates bring strong publication records, deep learning experience, and ability to communicate findings to trading researchers while thriving in a collaborative environment.

Qualifications

• Strong publication record at top ML/AI conferences or contributions to open-source AI research.
• Deep learning expertise with modern architectures (e.g., transformers) and language modeling.
• Solid development skills in Python and/or C++.
• Experience with ML libraries such as PyTorch, TensorFlow, or JAX.
• Ability to conduct open-ended research from concept to production and communicate results.

Responsibilities

• Apply machine learning to state-of-the-art domains within quantitative research and monetisation.
• Lead end-to-end research projects from concept to production and iterate to improve models, tools, and infrastructure.
• Collaborate with traders, researchers, and engineers to deliver impactful results.

Skills

Publications

ML fundamentals

Teamwork

Communication

Research mindset

Problem solving

Reliability

Education

Advanced degree (PhD preferred) in CS/Math/Physics

Tools

Python

C++

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 incentivising 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 organisations 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 monetisation 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

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.

Benefits

• 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