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- Tasks: Develop cutting-edge quantitative models and trading strategies with a high-performing team.
- Company: Global trading firm in the heart of London, renowned for innovation.
- Benefits: Competitive salary, growth opportunities, and exposure to senior quants.
- Other info: Dynamic environment with exceptional career growth potential.
- Why this job: Make a real impact on trading performance using advanced statistical techniques.
- Qualifications: Strong background in Maths, Stats, or Computer Science; experience with ML and NLP.
The predicted salary is between 60000 - 80000 £ 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
- 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 environment
Quantitative Researcher in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and quantitative research space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with statistical techniques, machine learning, and data analysis. Practice explaining complex concepts in simple terms.
✨Tip Number 3
Showcase your projects! If you've worked on any quantitative models or trading strategies, make sure to highlight them in conversations. Real-world examples can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and submit your application directly for the best chance of landing that dream role.
We think you need these skills to ace Quantitative Researcher in London
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, machine learning, and any relevant projects that showcase your skills in handling large data sets.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative research and how your background aligns with the company's goals. Be specific about your achievements and how they relate to the role.
Showcase Your Technical Skills: Don’t forget to mention your technical skills! Whether it's programming languages or statistical software, make sure to list them clearly. This is crucial for a role that involves developing and optimising algorithms.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Fraser & Co. Talent Partners Limited
✨Know Your Numbers
Brush up on your statistical techniques and quantitative models. Be ready to discuss specific examples of how you've applied time-series analysis or machine learning in past projects. This shows you not only understand the theory but can also apply it practically.
✨Data is Your Best Friend
Familiarise yourself with large data sets and be prepared to talk about how you've worked with them. Think about any trends or anomalies you've identified in your previous roles, and be ready to explain your thought process and the impact of your findings.
✨Collaboration is Key
Since you'll be working with global teams, highlight your experience in collaborative projects. Share examples of how you've successfully communicated complex ideas to non-technical stakeholders or worked alongside engineers and traders to enhance strategies.
✨Stay Curious and Engaged
Show your passion for quantitative research by discussing recent advancements in the field, such as new algorithms or techniques in NLP. This demonstrates that you're not just knowledgeable but also eager to learn and grow within the role.