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 48000 - 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 Digital 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 Digital Strategist
✨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 finance and tech industries, especially those who work with quantitative strategies. Attend relevant meetups or webinars to build connections that could lead to referrals.
✨Tip Number 3
Showcase your hands-on experience by working on personal projects or contributing to open-source projects related to trading strategies. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've used Python and data science libraries in your previous roles. Being able to articulate your technical skills in a real-world context will impress potential employers.
We think you need these skills to ace Senior Digital 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 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 could set you apart.
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.
How to prepare for a job interview at Quantum Technology Solutions Inc
✨Showcase Your Analytical Skills
As a Senior Quantitative 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 your hands-on experience in developing and validating them. This will show your potential employer that you can hit the ground running.
✨Brush Up on Python and Data Science Libraries
Since proficiency in Python and libraries like pandas and NumPy is crucial, ensure you're comfortable discussing your coding experience. You might even be asked to solve a problem or write a snippet of code during the interview.
✨Prepare for Technical Questions
Expect technical questions related to statistics, econometrics, and backtesting frameworks. Review key concepts and be ready to explain how they apply to real-world trading scenarios.