At a Glance
- Tasks: Develop deep learning models for trading strategies and create high-quality signals.
- Company: Join Saragossa, a global investment team in the UK.
- Benefits: Performance-based salary and total compensation with growth opportunities.
- Other info: Collaborative environment with a focus on innovation and research.
- Why this job: Make an impact in finance using cutting-edge machine learning technology.
- Qualifications: Experience in financial services and proficiency in Python/R, plus PyTorch or TensorFlow.
The predicted salary is between 63000 - 77000 £ per year.
Saragossa seeks a deep learning-focused quant to join its global investment team in the UK.
You will develop machine learning models for trading strategies, build high-quality signals, and collaborate with research to drive growth as headcount expands.
Prior experience in financial services and proficiency in Python/R, plus Py Torch or Tensor Flow, are required.
Salary and total compensation are performance-based; discussions on your comp will occur when you connect with us.
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Quant Researcher: Deep Learning for Trading Signals employer: Saragossa
Saragossa is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and creativity are highly valued. Located in a vibrant energy market, employees benefit from extensive professional growth opportunities, including training in advanced analytical tools and exposure to diverse structured transactions. Join us to be part of a forward-thinking team that not only supports your career development but also encourages meaningful contributions to the energy sector.
