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- Tasks: Develop cutting-edge quantitative models and trading strategies using advanced statistical techniques.
- Company: Global trading firm based in the vibrant City of London.
- Benefits: Exceptional growth potential, exposure to senior quants, and a dynamic work environment.
- Other info: Collaborate globally with teams across research, engineering, and trading.
- Why this job: Make a real impact on trading performance while working with large data sets and innovative tech.
- Qualifications: Strong background in Maths, Stats, or Computer Science; programming skills in Python required.
The predicted salary is between 50000 - 70000 ÂŁ per year.
Our client, a global trading company based in the City of London, is seeking a talented Quantitative Researcher to join a high‑performing team developing cutting‑edge quantitative models and trading strategies. This is an opportunity to work within a globally recognised group, contributing to research that directly impacts trading performance and long‑term strategy. You’ll work across statistical techniques, large‑scale data sets, NLP, machine learning, and trading‑focused research, with strong exposure to senior quants and exceptional growth potential.
Key Responsibilities
- Develop and enhance quantitative models and trading strategies
- Apply advanced statistical techniques including time‑series analysis, pattern recognition, ML and NLP
- Work with large, complex data sets to identify signals, trends, and anomalies
- Build, test, and optimise algorithms for research and trading
- Collaborate with global teams across research, engineering, and trading
Key Skills & Experience
- Strong proficiency in probability, statistics, time‑series analysis, ML, pattern recognition, NLP
- Advanced academic background in Mathematics, Statistics, Physics, Computer Science, or related discipline
- Experience in a data‑driven research environment
- Hands‑on programming experience in Python
- Familiarity with analytical packages such as R and MATLAB
- Experience with compiled languages such as C++
- Demonstrated analytical problem‑solving ability
- Ability to design, test, and refine algorithms for large‑scale data analysis and error‑checking
If you’re interested in this excellent opportunity, please send your latest CV.
Quantitative Researcher employer: Fraser & Co. Talent Partners Limited
Contact Detail:
Fraser & Co. Talent Partners Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the firm on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for those tricky technical interviews. Brush up on your statistical techniques and coding skills in Python. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant quantitative models or algorithms, make sure to discuss them during interviews. We want to see your hands-on experience and problem-solving skills in action.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Researcher role. Highlight your experience with statistical techniques, programming skills, and any relevant projects that showcase your ability to work with large data sets.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past experiences where you applied ML, NLP, or time-series analysis. This will help us see how you can contribute to our team.
Keep It Clear and Concise: We love a well-structured application! Keep your CV and cover letter clear and concise. Use bullet points for easy reading and make sure to highlight your key achievements and qualifications.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of your application. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Fraser & Co. Talent Partners Limited
✨Know Your Numbers
Brush up on your statistics and probability concepts. Be ready to discuss how you’ve applied these in past projects, especially in relation to time-series analysis and pattern recognition. This will show that you can handle the quantitative demands of the role.
✨Showcase Your Coding Skills
Make sure you’re comfortable with Python and any other programming languages mentioned in the job description, like R or C++. Prepare to discuss specific algorithms you've built or optimised, and be ready for potential coding challenges during the interview.
✨Demonstrate Problem-Solving Ability
Think of examples where you’ve tackled complex data problems. Be prepared to explain your thought process and the statistical techniques you used. This will highlight your analytical skills and your ability to contribute to the team’s research efforts.
✨Engage with the Team's Work
Research the company’s recent projects and trading strategies. During the interview, ask insightful questions about their current models and express your enthusiasm for contributing to their success. This shows you’re genuinely interested and ready to collaborate.