Quantitative Researcher – Crypto HFT

JR United Kingdom; Portsmouth; On-site; GBP 80,000 - 120,000; Full time

Job summary

A world-leading proprietary trading fund is looking for a Quantitative Researcher to develop and execute high-frequency trading strategies in the crypto space. You'll apply advanced mathematical models and collaborate with engineers to implement scalable trading solutions. Enjoy a competitive salary and profit-sharing opportunities in a dynamic environment.

Benefits

Competitive salary with profit-sharing opportunities

Access to cutting-edge trading systems and strategies

Dynamic and fast-paced environment

Qualifications

• 4+ years’ experience with Python.
• Extensive expertise in mathematics and statistics.
• Proven multi-year track record of consistent PnL.

Responsibilities

• Design and implement High-frequency trading strategies for digital assets.
• Work closely with infrastructure teams to optimize latency and execution.
• Leverage data to refine strategies and stay ahead of market trends.

Skills

Python

Mathematics

Statistics

Statistical Modelling

Signal Generation

Job description

Quantitative Researcher – Crypto HFT

Apply advanced mathematical models and statistical techniques to develop alpha-generating strategies in crypto. A world-leading proprietary trading fund is seeking Quantitative Researchers to develop and execute high-frequency trading strategies in the digital asset space. You’ll collaborate with a multidisciplinary team of engineers and quants to deploy real-time, scalable trading solutions and have the autonomy to implement your own trading strategies.

What you’ll do:

• Design and implement High-frequency trading strategies for digital assets.
• Work closely with infrastructure teams to optimize latency and execution.
• Leverage data to continuously refine strategies and stay ahead of market trends.

What’s in it for you?

• Be immersed in cutting-edge High-frequency trading systems and strategies for the crypto space.
• Competitive salary with profit-sharing opportunities based on performance.
• A dynamic and fast-paced environment with tier-1 infrastructure access.

Key Skills & Knowledge:

• 4+ years’ experience with Python.
• Extensive expertise in mathematics and statistics, with a particular focus on statistical modelling and signal generation.
• Experience as a crypto high-frequency quantitative trader, proven multi-year track record of consistent PnL, and a 2+ Sharpe ratio.

Reach out at [emailprotected] to discuss the opportunity further, or please apply now.