Quant Researcher – C++ / Python

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Join an esteemed hedge fund as a Quant Researcher, where you'll have the opportunity to make a significant impact within a dynamic and supportive environment. This role involves collaborating closely with a Portfolio Manager to develop innovative quantitative investment models and engineer systems that enhance trading strategies. Ideal candidates will possess a strong technical background in mathematics or statistics and have programming expertise in languages like C++ or Python. Embrace the chance to work on greenfield projects that allow for substantial ownership and contribute to a positive, rewarding workplace culture.

Benefits

Significant salary

Bonus tied to profits

Greenfield work

Positive culture

Qualifications

• Strong technical academic background in Maths, Comp Sci, Engineering, or Statistics.
• Experience with sophisticated mathematical tools and scientific analysis.

Responsibilities

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

Skills

Mathematics

Computer Science

Engineering

Statistics

C++

Python

Education

Masters in Mathematics

PhD in Statistics

Tools

Quantitative Investment Models

Job description

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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