Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to design and implement cutting-edge trading strategies.
- Company: Be part of a leading firm in systematic trading strategies based in New York or London.
- Benefits: Enjoy competitive pay, potential remote work, and opportunities for career advancement.
- Why this job: This role offers a chance to innovate in finance and make a real impact on trading performance.
- Qualifications: 5+ years in quantitative research, strong programming skills, and a Master's or PhD in a quantitative field.
- Other info: Opportunity to transition into a lead PM role and manage risk capital independently.
The predicted salary is between 72000 - 108000 £ per year.
Location: New York / London
Team: Systematic Trading Strategies
About the Role:
Seeking a highly skilled and experienced Senior Quantitative Researcher or Sub-Portfolio Manager to join our systematic trading team. The successful candidate will play a key role in the full lifecycle of alpha research and strategy development, with the potential to manage risk capital independently or transition into a lead PM role over time.
Key Responsibilities:
- Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes
- Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate
- Develop and test robust portfolio construction, execution, and risk management models
- Collaborate closely with data engineering and infrastructure teams to enhance research platform capabilities
- Take ownership of strategy performance and contribute to the team’s overall P&L
- Potential to transition into a standalone PM role or run a sub-portfolio within defined risk limits
Requirements:
- 5+ years of experience in quantitative research or trading at a hedge fund, proprietary trading firm, or top-tier investment bank
- Proven track record of alpha generation or contribution to profitable strategies
- Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques
- Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure
- Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics)
- Excellent communication skills and ability to work in a collaborative, performance-driven environment
Contact Detail:
Alexander Chapman Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Researcher / Sub-PM
✨Tip Number 1
Network with professionals in the quantitative finance space. Attend industry conferences, webinars, or local meetups to connect with people who work in systematic trading. This can help you gain insights into the role and potentially get referrals.
✨Tip Number 2
Stay updated on the latest trends in quantitative research and systematic trading. Follow relevant blogs, podcasts, and publications to understand what strategies are currently successful and how they are being implemented in the market.
✨Tip Number 3
Showcase your programming skills by working on personal projects or contributing to open-source initiatives. This not only demonstrates your technical abilities but also your passion for quantitative research, which can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and coding challenges related to statistical modelling and machine learning. Familiarise yourself with common algorithms and techniques used in quantitative finance to boost your confidence during the interview process.
We think you need these skills to ace Senior Quantitative Researcher / Sub-PM
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research or trading. Emphasise your skills in statistical modelling, time-series analysis, and programming languages like Python or C++. Showcase any previous roles where you contributed to alpha generation.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the key responsibilities of the role. Discuss your experience with systematic trading strategies and how your background aligns with the company's goals. Mention your ability to collaborate with teams and your understanding of risk management.
Showcase Your Achievements: In your application, include specific examples of successful projects or strategies you've developed. Quantify your achievements where possible, such as improvements in performance metrics or contributions to profitable trading strategies.
Prepare for Technical Questions: Anticipate technical questions related to quantitative research and trading during the interview process. Brush up on your knowledge of machine learning techniques and statistical methods, and be ready to discuss how you've applied these in real-world scenarios.
How to prepare for a job interview at Alexander Chapman
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in Python, C++, or any relevant languages during the interview. Be prepared to discuss specific projects where you've applied statistical modelling or machine learning techniques, as this will demonstrate your technical expertise.
✨Prepare for Case Studies
Expect to tackle case studies or practical problems related to systematic trading strategies. Brush up on your knowledge of alpha signal research and portfolio construction, and be ready to walk through your thought process and methodologies clearly.
✨Demonstrate Collaboration
Since the role involves working closely with data engineering and infrastructure teams, be prepared to discuss examples of how you've successfully collaborated in previous roles. Highlight your communication skills and ability to work in a team-oriented environment.
✨Discuss Your Vision for the Role
Articulate your understanding of the position and express your interest in potentially transitioning into a standalone PM role. Share your long-term goals and how they align with the company's objectives, showing that you're not just looking for a job, but a career path.
