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For Companies At a Glance
- Tasks: Join a dynamic team to develop quantitative investment models and enhance trading strategies.
- Company: Work with one of the world's top hedge funds, known for its innovative approach.
- Benefits: Enjoy a competitive salary, bonuses, and a positive work culture with project ownership.
- Why this job: Make a real impact in a supportive environment while applying your technical skills.
- Qualifications: Strong background in Maths, Comp Sci, or Engineering; programming skills in C++ or Python preferred.
- Other info: Ideal for those seeking autonomy and a chance to grow in the financial sector.
The predicted salary is between 43200 - 72000 £ per year.
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
Quant Researcher – C++ / Python employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher – C++ / Python
✨Tip Number 1
Network with professionals in the finance and quantitative research fields. Attend industry conferences, webinars, or local meetups to connect with people who work at hedge funds or in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Brush up on your programming skills, especially in C++ and Python. Consider working on personal projects or contributing to open-source projects that showcase your ability to develop quantitative models and systems. This practical experience can set you apart during interviews.
✨Tip Number 3
Familiarise yourself with the latest trends and tools in quantitative finance. Read research papers, follow relevant blogs, and engage with online communities to stay updated. Demonstrating your knowledge of current methodologies can impress interviewers.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to quantitative analysis. Websites like LeetCode or HackerRank can be great resources. Being able to demonstrate your analytical thinking and coding prowess will be crucial.
We think you need these skills to ace Quant Researcher – C++ / Python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong technical academic background, particularly in Maths, Computer Science, Engineering, or Statistics. Emphasise any relevant experience with C++ and Python, as well as your ability to analyse large datasets.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your previous experience in developing quantitative investment models and how you can contribute to the systematic trading pod. Be specific about your achievements and how they relate to the job.
Showcase Your Problem-Solving Skills: Provide examples of how you've applied scientific methods to solve real-world problems. Highlight any projects where you've engineered robust systems or improved research and trading pipelines, as this aligns closely with the role's requirements.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Check for any grammatical errors or typos, and ensure that your writing is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience in C++ and Python. Bring examples of projects you've worked on that demonstrate your ability to develop quantitative models and systems. Highlight any specific mathematical tools you've used in your previous roles.
✨Demonstrate Your Analytical Approach
Expect questions that assess your scientific approach to problem-solving. Be ready to explain how you've tackled real-world problems using empirical data. Use specific examples to illustrate your thought process and the methodologies you applied.
✨Understand the Financial Context
While financial industry experience is preferred but not required, having a basic understanding of trading strategies and market dynamics can set you apart. Research the hedge fund's focus areas and be prepared to discuss how your skills can contribute to their trading pods.
✨Emphasise Team Collaboration
This role involves working closely with a Portfolio Manager and other team members. Be ready to discuss your experiences in collaborative environments and how you’ve contributed to team success. Highlight your ability to communicate complex ideas clearly and effectively.
