Quantitative Researcher/Trader Stat Arb

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

Job summary

A leading international systematic trading firm seeks a talented mid-level quantitative researcher/trader in London. The role emphasizes systematic trading strategy development and impacts US equities intraday trading. Candidates should have advanced degrees and relevant programming and trading experience.

Benefits

PnL share for bonuses

Open to relocating candidates from around the world

Qualifications

• At least 2 years of relevant experience.
• Experience in automated market making.
• Experience working with large data sets.

Responsibilities

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

Skills

Programming

Quantitative Analysis

Alpha Research

Risk Management

Education

Advanced degree in a quantitative subject or PhD (Mathematics, Physics, Computer Science, Engineering)

Job description

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Client:

Radley James

Location:

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 a direct impact on the business. This position focuses 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 in equities/stat-arb.
• Non-compete clauses less than 12 months.
• At least 2 years of relevant experience.

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 and a competitive base salary. We are open to relocating candidates from around the world!