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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 trading technology and research.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of trading with real-world impact.
- Qualifications: Strong stats background, Python skills, and experience in trading strategy development required.
- Other info: Bonus 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
Contact Detail:
Quantum Technology Solutions Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Strategist (Senior)
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading and data analysis. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of quantitative finance, especially those who work with digital assets. Attend relevant meetups or webinars to gain insights and potentially get referrals.
✨Tip Number 3
Showcase your hands-on experience by discussing specific projects where you've developed and validated trading strategies. Be prepared to explain your thought process and the outcomes of these projects.
✨Tip Number 4
Stay updated on the latest tools and technologies in data science and quantitative analysis. Being proficient in Python and familiar with libraries like pandas and NumPy will give you an edge in discussions with our team.
We think you need these skills to ace Digital Strategist (Senior)
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 involving backtesting frameworks or time-series modelling, be sure to include these in your application. Highlight any experience you have in crypto or digital asset markets, as this is a bonus point for the role.
Proofread and Edit: Before submitting your application, take the time to proofread and edit your documents. Ensure there are no grammatical errors and that your writing is clear and concise. A polished application reflects your attention to detail, which is crucial in a research-oriented role.
How to prepare for a job interview at Quantum Technology Solutions Inc
✨Showcase Your Analytical Skills
As a Digital Strategist, you'll need to demonstrate your ability to analyse large datasets. Be prepared to discuss specific examples of how you've extracted meaningful signals from data in previous roles.
✨Familiarise Yourself with Trading Strategies
Make sure you understand various quantitative trading strategies and be ready to discuss them. Highlight any hands-on experience you have in developing or validating these strategies, especially across different asset classes.
✨Brush Up on Python Proficiency
Since proficiency in Python and data science libraries is crucial, ensure you can talk about your experience with tools like pandas, NumPy, and scikit-learn. You might even want to prepare for technical questions or coding challenges related to these libraries.
✨Demonstrate Collaboration Skills
This role involves working closely with engineers and product owners. Be ready to share examples of how you've successfully collaborated in a team setting, particularly in fast-paced, research-driven environments.
