Quant Researcher – C++ / Python

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

Job summary

A prestigious hedge fund is seeking a talented Quant Researcher for a systematic trading pod. This role involves developing quantitative models, applying scientific methods, and working closely with portfolio managers. Ideal candidates have a strong academic background and programming skills in C++ or Python, and will thrive in a dynamic and supportive environment.

Benefits

Significant salary plus bonus tied to profits

Greenfield projects with high impact

Positive and friendly culture

Qualifications

• Strong technical academic background in quantitative fields.
• Experience with mathematical tools and programming languages.
• Track record of scientific problem-solving using empirical data.

Responsibilities

• Develop quantitative investment models and insights from datasets.
• Engineer systems for trading strategies.
• Improve research and trading pipeline efficiency.

Skills

Mathematical tools

Programming skills

Data analysis

Education

Masters or PhD in Maths/Comp Sci/Engineering/Statistics

Job description

Social network you want to login/join with:

One of the world’s most prestigious hedge funds is looking for an outstanding Quant Researcher to join one of their systematic trading pods.

This is a high-impact role, joining a small PM-led team that enjoys huge autonomy and are looking to grow their risk-taking. You’ll work closely with the Portfolio Manager, drawing on your previous experience to develop quantitative investment models, build unique insights into various datasets, and engineer robust systems that will be used as part of the trading strategies. You’ll also apply scientific methods to improve the efficiency of a research and trading pipeline.

If you’re looking for a dynamic, entrepreneurial and supportive environment and you enjoy seeing the impact of your work on a daily basis, then this is the role for you!

Requirements

• Strong technical academic background (Maths/Comp Sci/Engineering/Statistics) – Masters or PhD would be ideal
• Experience using sophisticated mathematical tools in different contexts
• Track record of having a scientific approach to analysing real-world problems and large amounts of empirical data
• Strong programming skills in at least one language (C++ and Python preferred)
• Financial industry experience preferred, but not required

Benefits & Incentives

• Significant salary +a bonus tied to profits / trading strategy success
• Greenfield work / big impact with lots of project ownership
• Positive, friendly culture and rewarding place to work