Quant Researcher | Fully Remote

Oxford Knight; Greater London; Hybrid; GBP 90,000 - 135,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Significant paid days off

Cutting-edge hardware and technology

Fully remote work

Job summary

Oxford Knight is seeking a Quantitative Researcher to join a fully remote team. You will conduct research and trading, monitor executions and open positions, adjust system parameters, and propose automation to improve performance.

Ideal candidates will have 3+ years of algorithmic trading experience, a proven track record in the last 2–3 years, and own trading ideas. Strong Python experience and ability to thrive in a remote team are essential.

Qualifications

• 3+ years of algorithmic trading experience.
• Proven track record in the last 2-3 years.
• Having your own trading strategies/ideas.
• 1+ year of experience in Python.
• Performs well in a remote/hybrid team with variable, project-based responsibilities.

Responsibilities

• Monitor the systems’ executions and open positions
• Adjust system parameters based on market conditions
• Manually trade to reduce risk when necessary
• Suggest automation and improvements to the systems
• Communicate relevant news, market events, and system behavior to team members
• Stay current with system functionality

Skills

Algorithmic trading

Trading strategies

Remote collaboration

Tools

Python

Job description

My client is a one-of-a-kind quantitative trading company operating on the cutting edge of technology. The company has risen to prominence in the HFT space in recent years, by leveraging not only the expertise of their talented people, but also state-of-the-art research infrastructure. Trading activities span various platforms worldwide, encompassing both traditional and cryptocurrency markets.

Now seeking a strong Quantitative Researcher to join the team, where you will be involved in both research and trading. Your day-to-day will include:

• Monitor the systems’ executions and open positions
• Adjust system parameters based on market conditions
• Manually trade to reduce risk when necessary
• Suggest automation and improvements to the systems
• Communicate relevant news, market events, and system behavior to team members
• Stay current with system functionality

They operate within a truly flat organizational structure, not siloed like other firms. You can work from anywhere in the world, or in one of their fully equipped offices if you prefer.

Requirements

• 3+ years of algorithmic trading experience
• A proven track record in the last 2-3 years
• Having your own trading strategies/ideas
• 1+ year of experience in Python
• Performs well in a remote/hybrid team with variable, project-based responsibilities

Nice to have

• Experience with international HFT companies and hedge funds
• Strong competitive/technical background: performance in any quantitative field or contest (hackathons, Olympiads, academic contests, etc.) highly beneficial
• Complex challenges with fast feedback loops
• Great corporate culture with internal events & commitment to fostering a supportive and empowering environment
• Cutting-edge hardware and technology
• Significant paid days off
• Competitive salary and performance-based bonuses

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Quant Researcher | Fully Remote City of London, London, GB