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- Tasks: Research and develop innovative trading strategies using large datasets.
- Company: Global investment firm with a focus on systematic macro trading.
- Benefits: Competitive salary, performance bonuses, and opportunities for 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 finance world.
- Qualifications: 3–7+ years in quantitative research and strong programming skills in Python.
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
- 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
- Competitive base salary in the range of $150,000–$250,000, depending on experience and location
- Performance-related bonus
- London, New York, or Singapore
Quantitative Researcher in Slough employer: Grainstone Lee
Contact Detail:
Grainstone Lee Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher in Slough
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative research field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving systematic strategies or large datasets. 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 and problem-solving skills. Practice coding challenges in Python and be ready to discuss your past research experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Quantitative Researcher in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in quantitative research and systematic strategies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative alpha research and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills: Since programming in Python and working with large datasets are key parts of the job, make sure to highlight your technical skills clearly. We love seeing examples of your work, so if you have any projects or code samples, include them!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
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 project or example 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 systematic macro trading strategies. Familiarise yourself with their approach to futures, FX, and other products. This will not only show your interest but also help you ask insightful questions during the interview.
✨Prepare for Collaboration Questions
Collaboration is key in this role, so be ready to discuss your experiences working with trading and engineering teams. Think of specific examples where you contributed to a project, highlighting your detail-oriented and methodical approach to research.