Crypto Quant Researcher (MFT/HFT) - London

Crypto Quant Researcher (MFT/HFT) - London

Full-Time 59400 - 72600 Β£ / year (est.) No working from home possible
Selby Jennings London

At a Glance

  • Tasks: Design and implement cutting-edge quantitative trading strategies in the exciting world of crypto.
  • Company: Join Selby Jennings, a leading firm in the fast-paced crypto market.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic team environment with excellent career advancement potential.
  • Why this job: Be at the forefront of crypto innovation and make a real impact in trading strategies.
  • Qualifications: 3+ years in quantitative research or trading with strong Python or R skills.

The predicted salary is between 59400 - 72600 Β£ per year.

Selby Jennings London is seeking a Mid-Frequency/High-Frequency Crypto Quantitative Researcher to join its research team.

You will design and implement quantitative trading strategies in digital assets, focusing on market-making, arbitrage, and other systematic opportunities in crypto markets.

The role requires at least three years in quantitative research or trading, strong Python or R skills, and solid statistical modeling.

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Crypto Quant Researcher (MFT/HFT) - London employer: Selby Jennings London

At Selby Jennings London, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As a Trading Systems Engineer, you will benefit from competitive compensation, comprehensive professional development opportunities, and the chance to collaborate with top-tier talent in the hedge fund industry, all within the vibrant city of London. Join us to be part of a forward-thinking team dedicated to pushing the boundaries of trading technology.

Selby Jennings London

Contact Details:

Selby Jennings London Recruitment Team

We think you need these skills to ace Crypto Quant Researcher (MFT/HFT) - London

Quantitative Research
Quantitative Trading
Market-Making
Arbitrage
Systematic Trading Strategies
Python
R