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- Tasks: Join a dynamic team to research and implement automated trading models.
- Company: Be part of a leading firm in systematic trading and machine learning.
- Benefits: Enjoy competitive pay, flexible working hours, and opportunities for growth.
- Why this job: Work on innovative projects that shape the future of trading while collaborating with top talent.
- Qualifications: 2-4 years of research experience and an advanced degree in Statistics or Computational Math required.
- Other info: Fluency in Python and R is essential; creativity and attention to detail are key.
The predicted salary is between 43200 - 72000 £ per year.
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Medium Frequency Quant Researcher (Pipeline Team), London
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Client:
Oxford Knight
Location:
London, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
db83cae3134a
Job Views:
14
Posted:
18.07.2025
Expiry Date:
01.09.2025
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Job Description:
Summary
My client is looking to hire a quantitative alpha researcher to work within their machine learning systematic trading team that currently researches, builds and maintains systematic trading models in the liquid futures space. The candidate’s primary responsibilities will include researching and implementing fully automated systematic futures signals with intraday to daily horizons. Suitable candidates will generally have at least 2-4 years of comparable research experience.
Requirements
- 2-4 years of experience researching scalable short- and medium-term alpha
- An advanced degree (MSc or PhD) from a top-tier institution is preferred
- Strong preference for advanced degrees in Statistics and/or Computational Math
- Excellent understanding of probabilities, statistics and optimization
- Excellent programming skills: fluency in Python and R is a must, as is the ability to write efficient code
- High attention to detail
- Creative thinker
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
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Medium Frequency Quant Researcher (Pipeline Team) employer: Oxford Knight
Contact Detail:
Oxford Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Medium Frequency Quant Researcher (Pipeline Team)
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and systematic trading. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the quantitative finance space, especially those who work with systematic trading models. Attend relevant meetups or webinars to make connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Brush up on your programming skills, particularly in Python and R. Consider working on personal projects or contributing to open-source projects that showcase your ability to write efficient code and solve complex problems.
✨Tip Number 4
Prepare to discuss your previous research experience in detail. Be ready to explain your methodologies, the challenges you faced, and how you overcame them, as this will highlight your problem-solving skills and attention to detail.
We think you need these skills to ace Medium Frequency Quant Researcher (Pipeline Team)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative research, particularly in systematic trading and the use of Python and R. Emphasise any projects or roles that demonstrate your skills in statistics and optimization.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the requirements listed in the job description. Mention your advanced degree and how your background aligns with the role of a Medium Frequency Quant Researcher, showcasing your creative thinking and attention to detail.
Showcase Relevant Projects: If you have worked on any projects related to automated systematic trading models or alpha research, include these in your application. Detail your contributions and the outcomes to illustrate your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at Oxford Knight
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight specific methodologies you used, the outcomes of your work, and how they relate to systematic trading models.
✨Demonstrate Programming Proficiency
Since fluency in Python and R is crucial, be ready to showcase your coding skills. You might be asked to solve a problem on the spot, so practice writing efficient code beforehand.
✨Understand Key Concepts
Brush up on your knowledge of probabilities, statistics, and optimisation techniques. Be ready to explain these concepts clearly and how they apply to quantitative research in trading.
✨Exhibit Creative Problem-Solving
As a creative thinker, prepare to discuss how you've approached complex problems in the past. Share examples where your innovative solutions led to successful outcomes in your research.
