Quant Researcher - C++ / Python- Global Hedge Fund

Oxford Knight; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A prestigious hedge fund seeks a Quant Researcher for their systematic trading team in London. The role involves developing innovative investment models and utilizing advanced mathematical tools to improve trading strategies. Ideal candidates will have a strong analytical background and proficiency in C++ and Python, thriving in an autonomous and impactful work environment.

Benefits

Competitive salary plus bonuses linked to profits

Opportunity to work on significant greenfield projects

Flexible working arrangements including work-from-home

Positive and friendly culture

Qualifications

• Strong academic background in technical subjects.
• Experience with sophisticated mathematical tools.
• Scientific approach to analyzing empirical data.

Responsibilities

• Develop quantitative investment models and trading strategies.
• Apply scientific methods to enhance research and trading pipelines.
• Collaborate with Portfolio Manager on risk-taking activities.

Skills

Mathematics

Computer Science

Engineering

Statistics

Programming

Data Analysis

Education

Masters or PhD in Mathematics, Computer Science, Engineering, or Statistics

Tools

C++

Python

Job description

Quant Researcher - C++ / Python - Global Hedge Fund

Summary

One of the world's most prestigious hedge funds is seeking an outstanding Quant Researcher to join one of their systematic trading teams.

This is a high-impact role within a small, PM-led team that enjoys significant autonomy and is looking to expand its risk-taking activities. You will work closely with the Portfolio Manager to develop quantitative investment models, derive insights from diverse datasets, and engineer robust systems integrated into trading strategies. Additionally, you will apply scientific methods to enhance the efficiency of research and trading pipelines.

If you thrive in a dynamic, entrepreneurial, and supportive environment and enjoy seeing the tangible impact of your work daily, this role is ideal for you.

Requirements

• Strong academic background in Mathematics, Computer Science, Engineering, or Statistics; Masters or PhD preferred
• Experience applying sophisticated mathematical tools in various contexts
• A scientific approach to analyzing real-world problems and large empirical datasets
• Proficiency in programming, especially in C++ and Python
• Experience in the financial industry is preferred but not mandatory

Benefits & Incentives

• Competitive salary plus bonuses linked to profits and trading success
• Opportunity to work on greenfield projects with significant impact and ownership
• Positive and friendly culture with rewarding work environment
• Flexible working arrangements including work-from-home opportunities

While we review all applications carefully, due to high application volumes, we may not be able to respond to unsuccessful candidates.

Contact

To apply or request further information, please contact:

Maia Ellis

[e-mail]

020 3745 6539

linkedin.com/in/maia-ellis-38a577193

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