ML Systems Engineer for Quantitative Finance

ML Systems Engineer for Quantitative Finance

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
P2P

At a Glance

  • Tasks: Build and optimise ML systems for quantitative finance with cutting-edge technologies.
  • Company: Join Jump Trading Group, a leader in tech-driven finance.
  • Benefits: Competitive salary, flexible work options, and opportunities for growth.
  • Other info: Fast-paced environment with exciting projects and career advancement.
  • Why this job: Make an impact in AI research and global markets with a collaborative team.
  • Qualifications: Experience in C/C++, Python, and GPU technologies is a plus.

The predicted salary is between 70000 - 90000 Β£ per year.

Jump Trading Group is seeking world-class engineers to collaborate with research, trading, and engineering teams to build state-of-the-art ML systems for quantitative finance. You will optimize training pipelines, deploy models to low-latency production environments, and work across C/C++, Python, CUDA, and related GPU technologies. Join a fast-paced, collaborative team focused on impactful projects that push the boundaries of AI research and its applications to global markets.

ML Systems Engineer for Quantitative Finance employer: P2P

P2P is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration in the heart of Greater London. With a commitment to employee growth, we offer extensive professional development opportunities and a supportive environment for those passionate about advancing decentralized finance. Join us to be part of a forward-thinking team that values your contributions and encourages meaningful impact in the financial services sector.

P2P

Contact Details:

P2P Recruitment Team

We think you need these skills to ace ML Systems Engineer for Quantitative Finance

Machine Learning
C/C++
Python
CUDA
GPU Technologies
Optimisation of Training Pipelines
Model Deployment