Campus AI Researcher (PhD/Postdoc) — ML for Markets

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 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.