Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us to design and test innovative trading strategies using data and analysis.
- Company: Be part of a cutting-edge team focused on quantitative research in trading.
- Benefits: Enjoy a dynamic work environment with opportunities for collaboration and growth.
- Why this job: Shape the future of trading while working with top engineers and AI tools.
- Qualifications: Strong stats background, Python skills, and experience in trading strategy development required.
- Other info: Bonus points for crypto experience and familiarity with AI research tools.
The predicted salary is between 43200 - 72000 £ per year.
About the Role
We’re looking for a Quantitative Strategist to join our team and help shape the research behind our trading strategies. You’ll work at the intersection of data, modelling, and execution - identifying opportunities, analysing patterns, and building signals that translate into real-world performance. This is a core role driving what we trade and why, and you’ll collaborate closely with engineers and product owners to bring ideas to life.
Key Responsibilities
- Design and test quantitative trading strategies across asset classes (crypto, equities etc.)
- Analyse large datasets to extract meaningful signals and develop robust hypotheses
- Collaborate with engineers to implement, backtest, and refine strategies
- Monitor strategy performance and adapt to evolving market conditions
- Work closely with Quant Developers and AI/LLM teams on systematic research workflows
Required Skills
- Strong background in statistics, mathematics, econometrics or related field
- Hands-on experience developing and validating trading strategies
- Proficient in Python and data science libraries (pandas, NumPy, scikit-learn)
- Familiarity with backtesting frameworks and time-series modelling
- Comfortable working in fast-paced, research-driven environments
Bonus Points
- Experience in crypto or digital asset markets
- Exposure to LLMs or AI-powered research tools
- Understanding of market microstructure and trading infrastructure
Senior Quantitative Strategist employer: Quantum Technology Solutions Inc
Contact Detail:
Quantum Technology Solutions Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Strategist
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading, especially in crypto and equities. This will not only help you understand the market better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the quantitative finance space. Attend industry conferences or webinars where you can meet potential colleagues and learn about their experiences, which could give you insights into what we value at StudySmarter.
✨Tip Number 3
Brush up on your Python skills, particularly with data science libraries like pandas and NumPy. Consider working on personal projects that involve developing trading strategies to showcase your hands-on experience.
✨Tip Number 4
Stay updated on market microstructure and trading infrastructure. Understanding these concepts will not only enhance your knowledge but also demonstrate your commitment to the role when discussing your insights with us.
We think you need these skills to ace Senior Quantitative Strategist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong background in statistics, mathematics, and econometrics. Include specific examples of your hands-on experience developing and validating trading strategies, especially in Python and relevant data science libraries.
Craft a Compelling Cover Letter: In your cover letter, express your passion for quantitative research and trading strategies. Mention any experience you have with crypto or digital asset markets, and how it aligns with the company's focus on innovative trading solutions.
Showcase Relevant Projects: If you've worked on projects involving backtesting frameworks or time-series modelling, be sure to include these in your application. Highlight how these experiences have prepared you for the role and contributed to your understanding of market microstructure.
Prepare for Technical Questions: Anticipate technical questions related to your quantitative skills and experience. Be ready to discuss specific methodologies you've used in your research and how you've collaborated with engineers and product owners to implement your strategies.
How to prepare for a job interview at Quantum Technology Solutions Inc
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and data science libraries like pandas and NumPy. You might be asked to solve a problem or analyse a dataset during the interview, so brush up on your coding skills and be ready to demonstrate your proficiency.
✨Demonstrate Your Analytical Thinking
Since the role involves analysing large datasets and developing trading strategies, be ready to explain your thought process when approaching complex problems. Share examples of how you've extracted meaningful signals from data in previous roles.
✨Understand the Market Landscape
Familiarise yourself with current trends in crypto and digital asset markets, as well as market microstructure. Being able to discuss recent developments will show your passion for the field and your ability to adapt to evolving market conditions.
✨Prepare for Collaboration Questions
This role requires close collaboration with engineers and product owners. Think of examples where you've successfully worked in a team setting, particularly in fast-paced environments, and be ready to discuss how you handle feedback and integrate ideas from others.
