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- 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 options, and a dynamic work environment.
- Why this job: This role offers the chance to innovate in finance and grow into a leadership position.
- Qualifications: 5+ years in quantitative research, strong programming skills, and a Master's or PhD required.
- Other info: Opportunity to manage risk capital and transition into a standalone PM role.
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
Showcase your technical skills by working on personal projects or contributing to open-source initiatives related to quantitative research. This not only demonstrates your expertise but also gives you practical examples to discuss during interviews.
✨Tip Number 3
Stay updated on the latest trends and advancements in quantitative finance, machine learning, and statistical modelling. Follow relevant blogs, podcasts, and research papers to ensure you can speak knowledgeably about current methodologies and technologies.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and quantitative problems. Familiarise yourself with common algorithms and data structures, as well as statistical concepts that are likely to come up in discussions.
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 track record of alpha generation and any specific projects that showcase your skills in statistical modelling and machine learning.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Senior Quantitative Researcher/Sub-PM role. Discuss your experience with systematic trading strategies and how your background aligns with the company's goals.
Showcase Technical Skills: Clearly outline your programming skills, particularly in Python or C++. Mention any experience with large datasets and research infrastructure, as this is crucial for the role.
Highlight Collaboration Experience: Since the role involves working closely with data engineering and infrastructure teams, include examples of past collaborative projects. This will demonstrate your ability to work in a team-oriented environment.
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 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 potential to transition into a standalone PM role. Share your vision for how you would manage risk capital and contribute to the team's overall performance, showcasing your ambition and strategic thinking.
