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- Tasks: Research and design innovative equity Alpha signals for global markets.
- Company: Leading hedge fund with a focus on systematic research.
- Benefits: Competitive pay, performance bonuses, and comprehensive benefits package.
- Why this job: Make a real impact in finance with your research and ideas.
- Qualifications: Strong quantitative background and advanced Python skills required.
- Other info: Collaborative environment with opportunities for rapid idea implementation.
The predicted salary is between 36000 - 60000 £ per year.
This position offers the chance to join a systematic equities research function responsible for building and scaling differentiated Alpha across global equity markets. The mandate is pure research: identifying new sources of equity Alpha, validating them rigorously, and seeing successful ideas deployed with real capital. Researchers operate end-to-end, with ownership over data selection, signal design, testing, and ongoing performance evaluation. This is particularly well suited to researchers who already run live signals but want greater influence over the research agenda, cleaner decision-making, and a clearer line of sight between their work and outcomes.
Responsibilities
- Researching, designing, and validating new systematic equity Alpha signals across regions and time horizons
- Owning the full research life cycle: data exploration, feature engineering, modelling, testing, and performance analysis
- Working closely with other senior researchers to combine signals into robust portfolios
- Contributing to portfolio construction and risk discussions, with clear visibility of live outcomes
- Leveraging an advanced research and execution stack built for speed, scale, and iteration
- Operating in a collaborative environment where good ideas move quickly into production
Experience
- Strong academic foundation in a quantitative discipline (Mathematics, Physics, Computer Science, Engineering or similar)
- MSc or PhD from a leading university preferred
- Proven experience delivering live equity Alpha in a buy-side or systematic trading environment
- Deep understanding of statistics, time-series analysis, and modern machine learning techniques
- Advanced Python skills for research and production-quality code
- Self-directed, intellectually honest, and motivated by research quality over noise
Compensation
Competitive compensation with meaningful performance participation and full benefits.
Quantitative Researcher - Systematic Equities employer: McGregor Recruitment
Contact Detail:
McGregor Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Systematic Equities
✨Tip Number 1
Network like a pro! Reach out to professionals in the hedge fund industry, especially those working in systematic equities. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects, especially any live equity Alpha signals you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with data exploration, feature engineering, and machine learning techniques. We want to see your thought process and how you tackle complex problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Quantitative Researcher - Systematic Equities
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong academic background and any relevant experience in quantitative research. We want to see how your skills in statistics, time-series analysis, and machine learning can contribute to our systematic equities research.
Tailor Your Application: Don’t just send a generic CV and cover letter! Tailor your application to reflect the specific responsibilities and requirements mentioned in the job description. We love seeing candidates who take the time to connect their experiences with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and motivations. Avoid fluff and focus on what makes you a great fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the position. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at McGregor Recruitment
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills, especially in statistics and machine learning. Be ready to discuss how you've applied these techniques in past projects, particularly in delivering live equity Alpha.
✨Showcase Your Research Process
Prepare to walk through your research life cycle. Highlight your experience with data selection, signal design, and performance analysis. They’ll want to see how you approach problems and validate your findings.
✨Collaborate and Communicate
Since the role involves working closely with other researchers, be prepared to discuss how you’ve collaborated in the past. Share examples of how you’ve combined signals or contributed to portfolio discussions.
✨Demonstrate Your Coding Skills
Advanced Python skills are a must, so be ready to talk about your coding experience. You might even be asked to solve a problem on the spot, so practice writing clean, production-quality code before the interview.
