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- Tasks: Research and develop systematic trading strategies across diverse macro markets.
- Company: Global investment firm with a focus on innovative trading solutions.
- Benefits: Competitive salary, performance bonuses, and opportunities for professional growth.
- Other info: Work in dynamic locations like London, New York, or Singapore.
- Why this job: Join a successful team and make an impact in the world of finance.
- Qualifications: 3-7+ years in quantitative research and strong programming skills in Python.
The predicted salary is between 120000 - 200000 £ per year.
A global investment firm is looking to hire a Quantitative Alpha Researcher to join a systematic macro trading team. The group develops fully systematic strategies across liquid markets, with a focus on mid-horizon signals (intraday to multi-day holding periods). This role will focus on researching and implementing scalable alpha across a diversified macro universe, including futures, FX, and other products such as interest rate swaps and credit indices. This is a key hire working with an established and successful Portfolio Manager.
Key Responsibilities
- Research and develop systematic alpha signals with intraday to multi-day horizons
- Design, test, and implement fully automated trading strategies
- Work with large datasets to identify robust, scalable sources of alpha
- Contribute to expanding coverage across macro instruments (e.g. futures, FX, IRS, credit indices)
- Collaborate with trading and engineering teams to bring models into production
Requirements
- 3–7+ years of experience in quantitative alpha research
- Strong track record researching short- to medium-term signals
- Advanced degree (MSc or PhD preferred) in a quantitative discipline (e.g. Statistics, Mathematics, Physics, Engineering, Machine Learning)
- Strong foundation in statistics and probability
- Excellent programming skills in Python
- Experience working with large and complex datasets
- Detail-oriented, with a rigorous and methodical approach to research
- Ideally non-compete of less than 12 months
Compensation
Competitive base salary in the range of $150,000–$250,000, depending on experience and location. Performance-related bonus.
Location
London, New York, or Singapore.
Quantitative Researcher employer: Grainstone Lee
Contact Detail:
Grainstone Lee Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects. Whether it's a GitHub repo with your Python code or a blog detailing your findings, let your work speak for itself.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and market knowledge. Be ready to discuss your past research and how it relates to systematic macro strategies. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Alpha Researcher role. Highlight your experience with systematic strategies and large datasets, and don’t forget to showcase your programming skills in Python!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative research and how your background aligns with our focus on mid-horizon signals. Keep it concise but impactful.
Showcase Your Projects: If you've worked on relevant projects or research, make sure to include them in your application. We love seeing real-world applications of your skills, especially those that involve designing and implementing trading strategies.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right team!
How to prepare for a job interview at Grainstone Lee
✨Know Your Numbers
As a Quantitative Alpha Researcher, you'll need to demonstrate your strong foundation in statistics and probability. Brush up on key concepts and be ready to discuss how you've applied them in past projects. Prepare to explain your thought process when analysing data and developing alpha signals.
✨Showcase Your Coding Skills
Since excellent programming skills in Python are crucial for this role, make sure you can talk about your coding experience confidently. Consider preparing a small coding challenge or example project that highlights your ability to work with large datasets and implement automated trading strategies.
✨Research the Firm's Strategies
Before the interview, take some time to understand the firm's existing systematic macro strategies. Familiarise yourself with their approach to trading across futures, FX, and other products. This will not only show your interest but also help you align your answers with their goals during the interview.
✨Prepare for Collaboration Questions
Collaboration is key in this role, so expect questions about working with trading and engineering teams. Think of examples from your past experiences where you successfully collaborated on projects. Highlight your communication skills and how you contributed to bringing models into production.