Quantitative Researcher/Trader Stat Arb

JR United Kingdom; Oxford; On-site; GBP 50,000 - 80,000; Full time

Job summary

An international trading firm is seeking a mid-level Quantitative Researcher/Trader in Oxford to develop systematic trading strategies. The role emphasizes collaboration on trading projects, requiring strong quantitative expertise and programming skills. This position also offers PnL bonuses and the possibility of relocation for the right candidates.

Qualifications

• PhD in Mathematics, Physics, Computer Science, or Engineering.
• At least 2 years of relevant experience in statistical arbitrage.
• Experience in Python, C++, or C# programming.

Responsibilities

• Assist in designing, developing, and implementing systematic trading strategies.
• Collaborate on alpha research, risk management, and portfolio construction.
• Impact US equities intraday trading initiatives.

Skills

Programming experience

Statistical analysis

Research

Data handling

Education

PhD or advanced degree in quantitative field

Job description

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Quantitative Researcher/Trader Stat Arb, oxford district

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Client:

Radley James

Location:

oxford district, United Kingdom

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 Oxford to assist in designing, developing, and implementing systematic trading strategies. You will collaborate with experienced professionals on projects including alpha research, risk management, and portfolio construction, directly impacting the business. This role focuses on US equities intraday trading.

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

Desired Skills:

• Experience or internships in systematic alpha research is advantageous.
• Experience or internships in automated market making is beneficial.
• 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!