Junior Quant Researcher: Alpha Signals & ML Models

Junior Quant Researcher: Alpha Signals & ML Models

Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
Marlin Selection Ltd

At a Glance

  • Tasks: Contribute to alpha research and quantitative modelling in a dynamic trading environment.
  • Company: Join Marlin Selection Ltd, a leading hedge fund in Greater London.
  • Benefits: Gain exposure to advanced research techniques and career advancement opportunities.
  • Other info: Dynamic environment with excellent growth potential.
  • Why this job: Make an impact in finance with your analytical skills and Python expertise.
  • Qualifications: Strong analytical skills and Python programming experience required.

The predicted salary is between 30000 - 40000 Β£ per year.

Marlin Selection Ltd is seeking a Junior Quantitative Researcher to join its hedge fund in Greater London. This role offers the chance to contribute to alpha research, portfolio construction, and quantitative modeling within a dynamic trading environment.

The successful candidate will have strong analytical skills, Python programming expertise, and a problem-solving mindset. This position provides exposure to advanced research techniques and career advancement opportunities.

Junior Quant Researcher: Alpha Signals & ML Models employer: Marlin Selection Ltd

Join a well-established financial services firm in London that values collaboration and employee growth. With a supportive work culture, you will benefit from a hybrid working model, excellent development opportunities, and the chance to gain diverse experience in both HR and Legal functions. This role not only offers a dynamic work environment but also encourages professional advancement in a thriving sector.

Marlin Selection Ltd

Contact Details:

Marlin Selection Ltd Recruitment Team

We think you need these skills to ace Junior Quant Researcher: Alpha Signals & ML Models

Analytical Skills
Python Programming
Problem-Solving Mindset
Quantitative Modelling
Alpha Research
Portfolio Construction
Advanced Research Techniques