Quantitative Researcher/Trader Stat Arb

JR United Kingdom; Cheltenham; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading international systematic trading firm seeks a mid-level statistical arbitrage quantitative researcher/trader in London. This role involves developing systematic trading strategies and offers the chance to impact the business directly. Candidates from worldwide are welcomed, with competitive compensation and bonuses available.

Benefits

PnL share for bonuses

Competitive base salary

Qualifications

• Experience as an alpha researcher from an equities/stat-arb background.
• At least 2 years of relevant experience in this space.

Responsibilities

• Designing, developing, and implementing systematic trading strategies.
• Working on alpha research, risk management, and portfolio construction.

Skills

Programming experience

Experience with large data sets

Education

Advanced degree in a quantitative subject or PhD

Job description

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Client:

Radley James

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Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

04.06.2025

Expiry Date:

19.07.2025

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Job Description:

A leading international systematic trading firm is looking to hire a talented mid-level statistical arbitrage quantitative researcher/trader in London. The role involves designing, developing, and implementing systematic trading strategies. You will work alongside experienced professionals on projects including alpha research, risk management, and portfolio construction, with the opportunity to see the direct impact of your work on the business. The focus will be on US equities intraday trading.

• Advanced degree in a quantitative subject or PhD (Mathematics, Physics, Computer Science, Engineering, etc.).
• Programming experience in one major language (C++, C#, Python, etc.).
• Experience as an alpha researcher from an equities/stat-arb background.
• Non-compete agreements of less than 12 months.
• At least 2 years of relevant experience in this space.

Desired Skills:

• Experience or internships in systematic alpha research.
• Experience or internships in automated market making.
• Experience working with large data sets.

This position offers a PnL share for bonuses in addition to a competitive base salary. We are open to relocating candidates from around the world!