ML-Driven Quant Researcher: Alpha in Markets

ML-Driven Quant Researcher: Alpha in Markets

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Thurn Partners

At a Glance

  • Tasks: Design and backtest machine learning models for high-frequency trading.
  • Company: Thurn Partners, a leading quantitative trading firm in London.
  • Benefits: Exciting role with cutting-edge technology and dynamic trading environment.
  • Other info: Great opportunity for career growth in a fast-paced industry.
  • Why this job: Join a pioneering team and make an impact in the finance world.
  • Qualifications: Strong machine learning background, Python skills, and financial time-series experience.

The predicted salary is between 60000 - 80000 Β£ per year.

Thurn Partners, a leading quantitative proprietary trading firm in London, is building a machine learning-driven alpha research team focused on equity and futures markets. The role involves designing and backtesting models to generate alpha in high-frequency and mid-frequency trading environments.

The ideal candidate will have a strong background in machine learning, proficiency in Python, and experience with financial time-series analysis. This position offers an exciting opportunity to work with cutting-edge technology in a dynamic trading environment.

ML-Driven Quant Researcher: Alpha in Markets employer: Thurn Partners

Thurn Partners is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the heart of London. Employees benefit from access to cutting-edge technology and resources, alongside ample opportunities for professional growth and development within the fast-paced world of quantitative trading. Join us to be part of a forward-thinking team that values creativity and excellence in the pursuit of market alpha.

Thurn Partners

Contact Details:

Thurn Partners Recruitment Team

We think you need these skills to ace ML-Driven Quant Researcher: Alpha in Markets

Machine Learning
Python
Financial Time-Series Analysis
Model Design
Backtesting
High-Frequency Trading
Mid-Frequency Trading