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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 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 in London employer: Grainstone Lee
Contact Detail:
Grainstone Lee Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. 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, especially those involving systematic strategies. 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 skills and understanding the latest trends in macro trading. Be ready to discuss your past experiences and how they relate to the role of a Quantitative Alpha Researcher.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Quantitative Researcher in London
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 skills in Python are crucial for this role, make sure to highlight any relevant projects or experiences where you've used Python to work with large datasets. We love seeing practical applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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. Use specific examples to showcase your analytical skills.
✨Showcase Your Coding Skills
Since excellent programming skills in Python are crucial for this role, prepare to discuss your coding experience. Bring along examples of automated trading strategies you've designed or large datasets you've worked with. If possible, be ready to solve a coding challenge during the interview.
✨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 alpha signals and be prepared to discuss how your experience aligns with their goals. This shows genuine interest and helps you stand out.
✨Collaborate and Communicate
This role involves working closely with trading and engineering teams, so highlight your collaboration skills. Prepare examples of how you've successfully worked in teams to bring models into production. Good communication is key, so practice articulating your thoughts clearly and concisely.