Quantitative Researcher: ML Trading Signals & Deep Learning

Quantitative Researcher: ML Trading Signals & Deep Learning

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Saragossa

At a Glance

  • Tasks: Design and implement ML models for trading strategies and risk management.
  • Company: Saragossa, a global investment manager with a focus on innovation.
  • Benefits: Performance-based salary and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on advancing research into production.
  • Why this job: Join a cutting-edge team and make an impact in financial services.
  • Qualifications: Strong ML background with experience in Python and deep learning frameworks.

The predicted salary is between 50000 - 70000 £ per year.

Saragossa, a global investment manager, is seeking a deep learning specialist to design and implement ML models that drive trading strategies and risk management.

You’ll craft signals and collaborate with researchers to advance research into production-ready deployments.

Ideal candidates will have a strong ML background in financial services, with Python and DL frameworks such as Py Torch or Tensor Flow.

Salary is performance-based and discussed on contact. #J-18808-Ljbffr

Saragossa

Contact Details:

Saragossa Recruitment Team

We think you need these skills to ace Quantitative Researcher: ML Trading Signals & Deep Learning

Deep Learning
Machine Learning (ML)
Python
PyTorch
TensorFlow
Financial Services Knowledge
Model Design and Implementation