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- Tasks: Join a dynamic team to develop innovative solutions in quantitative research and trading.
- Company: A fast-growing high-frequency trading firm seeking top talent from elite universities.
- Benefits: Enjoy competitive pay, flexible work locations, and the chance to work with cutting-edge technology.
- Why this job: Collaborate with brilliant minds and make an impact in the world of finance and technology.
- Qualifications: Must be a top-tier university graduate in Mathematics or a related field with strong programming skills.
- Other info: Full job description available upon application; multiple location options offered.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for the smartest and brightest minds from Top Tier Universities for a fast growing HFT. There are multiple options for locations.
Key Requirements:
- Top Tier University Grad in Mathematics or a related field of Quant finance
- Proven track record of Profit and Losses
- Experience of HFT
- Strong programming skills and experience of building solutions in Python / C++ / R / kdb+
This is an exciting opportunity to work with some brilliant people who are building cutting edge technology in the world of Quant research and trading.
Quant Researcher employer: Berkeley Square IT
Contact Detail:
Berkeley Square IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher
✨Tip Number 1
Network with professionals in the high-frequency trading (HFT) industry. Attend relevant conferences, workshops, or meetups where you can connect with current Quant Researchers and learn about their experiences.
✨Tip Number 2
Showcase your programming skills by working on personal projects or contributing to open-source projects. This will not only enhance your coding abilities but also provide tangible evidence of your expertise in Python, C++, R, or kdb+.
✨Tip Number 3
Stay updated on the latest trends and technologies in quantitative finance and HFT. Follow industry blogs, podcasts, and research papers to demonstrate your passion and knowledge during interviews.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to quantitative finance. Websites like LeetCode or HackerRank can be great resources to sharpen your skills.
We think you need these skills to ace Quant Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your academic achievements, particularly in Mathematics or related fields. Include any relevant projects or experiences that demonstrate your programming skills in Python, C++, R, or kdb+.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for quantitative research and high-frequency trading. Mention specific experiences that relate to the job requirements and explain why you are excited about the opportunity.
Highlight Relevant Experience: If you have a proven track record of Profit and Losses, make sure to detail this in your application. Use quantifiable metrics to illustrate your impact in previous roles or projects.
Showcase Technical Skills: In your application, emphasise your programming skills. Provide examples of solutions you've built using Python, C++, R, or kdb+. If possible, include links to any relevant projects or repositories.
How to prepare for a job interview at Berkeley Square IT
✨Showcase Your Academic Excellence
Since the company is looking for graduates from top-tier universities, be prepared to discuss your academic achievements in detail. Highlight relevant coursework, projects, or research that demonstrate your expertise in mathematics and quantitative finance.
✨Demonstrate Your Programming Skills
As strong programming skills are essential for this role, come ready to discuss your experience with Python, C++, R, or kdb+. Be prepared to solve coding problems or explain your past projects where you built solutions using these languages.
✨Discuss Your Experience with HFT
Having a proven track record in high-frequency trading (HFT) is crucial. Be ready to share specific examples of your experience in this area, including any strategies you've developed or insights you've gained from your work.
✨Prepare for Technical Questions
Expect technical questions that assess your quantitative skills and problem-solving abilities. Brush up on key concepts in statistics, probability, and algorithms, as well as any relevant financial theories that may apply to the role.
