Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy trading algorithms while analysing market data for patterns.
- Company: Leading multi-strategy proprietary trading firm with global presence.
- Benefits: Generous salary, bonuses, flexible working, and 25+ days holiday.
- Why this job: Join a top-tier firm and make an impact in high-frequency trading.
- Qualifications: Masters or PhD in STEM, strong programming skills, and data analysis experience.
- Other info: Continuous learning opportunities and excellent career progression.
The predicted salary is between 36000 - 60000 £ per year.
My client is a market leading multi-strategy proprietary trading business with offices in London, New York City & Singapore.
What You'll Get
- An opportunity to work at one of the most successful proprietary trading businesses in the world.
- Generous salaries and market leading bonuses.
- 25 days holiday allowance, plus statutory bank holidays, and up to 30 days a year working from abroad.
- Flexible working environment with 3 days in office, 2 days working from home, plus a further extra 15 remote days to take through the year.
- Breakfast in the office, and lunch allowance.
- Continuous opportunities for learning and development as well as career progression.
What You'll Do:
- Design, implement, and deploy trading algorithms.
- Researching high to mid frequency alphas.
- Explore trading ideas by analysing market data, market micro-structure and alternate data for patterns.
- Create tools to analyse data for patterns.
- Contribute to libraries of analytical computations to support market data analysis and trading.
- Develop, augment, and calibrate exchange simulators.
What You'll Need:
- A Masters or PhD from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree.
- Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis).
- Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data.
- Familiarity with signal generation and statistical models.
- Strong programming skills in Python and/or C++.
- Experience in high-frequency trading or quantitative trading is preferred but not a requirement.
Quantitative Researcher - High Frequency Trading employer: Tempest Vane Partners
Contact Detail:
Tempest Vane Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - High Frequency Trading
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and market knowledge. Practice coding challenges and be ready to discuss your past projects. We want to see how you think and solve problems!
✨Tip Number 3
Showcase your passion for quantitative research! Share your personal projects or any relevant research you've done. This will help us see your enthusiasm and commitment to the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Quantitative Researcher - High Frequency Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Quantitative Researcher. Highlight your relevant skills in programming, data analysis, and any experience with trading algorithms. We want to see how your background fits perfectly with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about high-frequency trading and how your academic background supports your application. Let us know what excites you about working at a leading proprietary trading business like ours.
Showcase Your Projects: If you've worked on any relevant projects, whether during your studies or in previous roles, make sure to include them. We love seeing practical applications of your skills, especially if they relate to trading algorithms or data analysis.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application directly. Plus, it shows you’re serious about joining our team. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Tempest Vane Partners
✨Know Your Algorithms
Make sure you brush up on your knowledge of trading algorithms. Be prepared to discuss how you've designed, implemented, or deployed them in the past. Having specific examples ready will show your practical experience and understanding of the role.
✨Data Analysis is Key
Since the job involves a lot of data analysis, be ready to talk about your experience with statistical techniques and data mining. Bring examples of how you've used these skills to uncover patterns or insights in large datasets.
✨Show Off Your Programming Skills
Familiarise yourself with Python and C++ if you haven't already. Be prepared to discuss your coding experience and even solve a coding problem during the interview. This will demonstrate your technical proficiency and problem-solving abilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's trading strategies, tools, and culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with your interviewers.