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- 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
Senior Quantitative Strategist employer: LinkedIn
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 discuss relevant strategies during interviews.
✨Tip Number 2
Engage with online communities or forums focused on quantitative finance and trading strategies. Networking with professionals in these spaces can provide insights and potentially lead to referrals.
✨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 backtesting trading strategies to showcase your hands-on experience.
✨Tip Number 4
Stay updated on market microstructure and trading infrastructure developments. Understanding these concepts will give you an edge in discussions about strategy implementation and performance monitoring.
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, particularly 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. Be sure to showcase your collaborative spirit, as this role involves working closely with engineers and product owners.
Showcase Relevant Projects: If you have worked on projects involving backtesting frameworks or time-series modelling, include these in your application. Describe the methodologies you used and the outcomes achieved, demonstrating your ability to analyse large datasets and extract meaningful signals.
Proofread and Edit: Before submitting your application, take the time to proofread and edit your documents. Ensure there are no grammatical errors or typos, as attention to detail is crucial in a research-oriented role like this one. A polished application reflects your professionalism and commitment.
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 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.
✨Collaborative Mindset
This role requires close collaboration with engineers and product owners. Be prepared to discuss your experience working in teams and how you approach collaboration. Highlight any past projects where teamwork was essential to success.
