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For Companies At a Glance
- Tasks: Design and test innovative trading strategies using data analysis and collaboration.
- Company: Join a cutting-edge firm at the forefront of quantitative trading.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and learning.
- Why this job: Shape impactful trading strategies while working with talented engineers and researchers.
- Qualifications: Strong stats background, Python skills, and experience in trading strategy development required.
- Other info: Bonus points for crypto experience and familiarity with AI 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
Brush up on your Python skills, particularly with data science libraries like pandas and NumPy. Consider working on personal projects or contributing to open-source projects that showcase your ability to develop and validate trading strategies.
✨Tip Number 3
Network with professionals in the quantitative finance space. Attend industry meetups or webinars where you can connect with others who work in similar roles, as this could lead to valuable insights and potential referrals.
✨Tip Number 4
Stay updated on market microstructure and trading infrastructure. Understanding these concepts will give you an edge in discussions about strategy performance and adaptation to market conditions.
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 experience in statistics, mathematics, and econometrics. Include specific examples of trading strategies you've developed and validated, as well as your proficiency in Python and relevant data science libraries.
Craft a Compelling Cover Letter: In your cover letter, express your passion for quantitative research and trading. Discuss how your skills align with the responsibilities of the role, particularly your experience with large datasets and collaboration with engineers.
Showcase Relevant Projects: If you have worked on projects related to crypto or digital asset markets, be sure to mention them. Highlight any experience with backtesting frameworks and time-series modelling, as these are crucial for the role.
Prepare for Technical Questions: Anticipate technical questions related to quantitative strategies and data analysis during the interview process. Brush up on your knowledge of market microstructure and trading infrastructure to demonstrate your expertise.
How to prepare for a job interview at Quantum Technology Solutions Inc
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and data science libraries like pandas and NumPy. Be prepared to discuss specific projects where you've developed and validated trading strategies, as this will demonstrate your hands-on experience.
✨Demonstrate Analytical Thinking
Prepare to discuss how you analyse large datasets to extract meaningful signals. You might be asked to walk through your thought process on developing robust hypotheses, so having examples ready will help you stand out.
✨Collaborative Mindset
Since the role involves working closely with engineers and product owners, be ready to talk about your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to implement and refine strategies.
✨Stay Updated on Market Trends
Familiarise yourself with current trends in crypto and digital asset markets, as well as advancements in AI and LLMs. Showing that you're knowledgeable about market microstructure and trading infrastructure can give you an edge in the interview.
