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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, project ownership, and remote work options.
- 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 finance 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
- Work-from-home opportunities
Contact
To apply for this role, or for further information, please contact: Maia Ellis 020 3745 6539
Quant Researcher - C++ / Python- Global Hedge Fund employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher - C++ / Python- Global Hedge Fund
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and systematic trading. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨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 demonstrate your ability to apply these languages in real-world scenarios, as this will make you stand out.
✨Tip Number 3
Network with professionals in the hedge fund industry. Attend relevant conferences, webinars, or meetups where you can connect with people who work in similar roles. This could lead to valuable insights and potentially even referrals.
✨Tip Number 4
Prepare to discuss your previous experiences with empirical data analysis and scientific methods. Be ready to share specific examples of how you've tackled complex problems, as this will demonstrate your analytical skills and fit for the role.
We think you need these skills to ace Quant Researcher - C++ / Python- Global Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong technical academic background, especially 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 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 formatting is consistent. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Technical Skills
Make sure to highlight your strong programming skills in C++ and Python during the interview. Be prepared to discuss specific projects where you've applied these languages, as well as any sophisticated mathematical tools you've used.
✨Demonstrate Your Analytical Approach
Prepare to explain how you approach real-world problems using a scientific method. Discuss examples of how you've analysed large datasets and the insights you've derived from them, as this will resonate well with the role's requirements.
✨Understand the Hedge Fund Environment
Familiarise yourself with the dynamics of hedge funds and systematic trading. Even if you lack direct experience, showing that you understand the industry and its challenges can set you apart from other candidates.
✨Emphasise Team Collaboration
Since you'll be working closely with a Portfolio Manager and a small team, it's important to convey your ability to collaborate effectively. Share examples of past teamwork experiences and how they contributed to successful outcomes.
