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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: Be part of a team that shapes trading strategies and impacts real-world performance.
- 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.
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:
LinkedIn 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 informed discussions 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 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 goals.
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 of Senior Quantitative Strategist.
Prepare for Technical Questions: Anticipate technical questions related to quantitative analysis and trading strategies 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 LinkedIn
✨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 technical 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. Use examples from your past experiences to illustrate how you identify patterns and extract meaningful signals.
✨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 or challenges in these areas will show your passion and understanding of the field.
✨Prepare for Collaboration Questions
As this role requires close collaboration with engineers and product owners, think about your past experiences working in teams. Be ready to share examples of how you've successfully collaborated on projects, especially in fast-paced environments.
