ML Scientist - Systematic Trading & AI Research

ML Scientist - Systematic Trading & AI Research

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Drive innovative trading strategies using advanced machine learning techniques.
  • Company: Durlston Partners, a leading firm in systematic trading and AI research.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
  • Other info: Collaborate with quants and traders in a high-performance trading setting.
  • Why this job: Join a cutting-edge team and make a real impact in the finance world.
  • Qualifications: PhD in a relevant field with expertise in ML, deep learning, and NLP.

The predicted salary is between 63000 - 77000 Β£ per year.

Durlston Partners in London seeks a Machine Learning Specialist to advance trading strategies by applying cutting-edge ML techniques across assets. You will own the end-to-end ML research pipeline from feature extraction to production deployment, working with quants, traders, and engineers to improve alpha generation and risk management.

The role emphasizes deep learning, NLP, reinforcement learning, and scalable solutions in a high-performance trading environment; candidates should have a PhD.

ML Scientist - Systematic Trading & AI Research employer: Durlston Partners

Join a dynamic and innovative FinTech company that is redefining cross-border payments with a fully remote work culture that promotes flexibility and autonomy. With competitive compensation, including equity options, and a strong focus on employee growth, you'll have the opportunity to make a significant impact while collaborating with a globally distributed team. This role offers a unique chance to take ownership of product development in a high-growth environment, ensuring your contributions are both meaningful and rewarding.

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Contact Details:

Durlston Partners Recruitment Team

We think you need these skills to ace ML Scientist - Systematic Trading & AI Research

Machine Learning
Deep Learning
Natural Language Processing (NLP)
Reinforcement Learning
Feature Extraction
Production Deployment
Quantitative Analysis