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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 City of London employer: Grainstone Lee
Contact Detail:
Grainstone Lee Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher in City of London
✨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, 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 loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Quantitative Researcher in City of London
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, as well as any relevant programming skills in Python. We want to see how your background aligns with what we're looking for!
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 skills can contribute to our systematic macro trading team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects or research, make sure to include them in your application. Whether it's developing trading strategies or analysing complex datasets, we want to see your hands-on experience and how you approach problem-solving.
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 role. Plus, it shows us you’re keen on joining our team at StudySmarter!
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 a must, make sure you can talk about your coding experience confidently. Bring examples of past projects where you've implemented automated trading strategies or worked with large datasets. If possible, prepare 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 futures, FX, and other products. This will not only show your interest but also help you ask insightful questions that demonstrate your knowledge of the industry.
✨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.