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

Jobs via eFinancialCareers; London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a talented Quant Researcher to join their elite systematic trading team. This role offers the chance to work closely with a Portfolio Manager, utilizing your expertise in C++ and Python to develop cutting-edge quantitative investment models. You'll have the opportunity to impact trading strategies significantly while enjoying a dynamic and supportive work culture. With a focus on autonomy and project ownership, this position is perfect for those who thrive in a fast-paced environment and want to see the tangible results of their contributions. If you're passionate about quantitative research and eager to make a difference, this role is for you.

Benefits

Significant salary

Performance-based bonus

Greenfield projects

Work-from-home opportunities

Positive work culture

Qualifications

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

Responsibilities

• Develop quantitative investment models and insights from datasets.
• Apply scientific methods to enhance research and trading efficiency.

Skills

C++

Python

Mathematical Tools

Data Analysis

Education

Masters in Mathematics

PhD in Mathematics

Degree in Computer Science

Degree in Engineering

Degree in Statistics

Job description

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

Summary

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
• Work-from-home opportunities

Contact
To apply for this role, or for further information, please contact:
Maia Ellis
[e-mail]
020 3745 6539
linkedin.com/in/maia-ellis-38a577193