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- Tasks: Research and develop scalable alpha strategies in macro trading.
- Company: Grainstone Lee, a leading firm in systematic macro trading.
- Benefits: Competitive salary up to $250,000 and great career growth.
- Other info: Exciting opportunity in Greater London with a focus on innovation.
- Why this job: Join a dynamic team and make an impact in the trading world.
- Qualifications: 3-7 years of experience, strong Python skills, and solid statistics knowledge.
The predicted salary is between 120000 - 200000 £ per year.
Grainstone Lee in Greater London is seeking a Quantitative Alpha Researcher to join their systematic macro trading team. The role involves researching scalable alpha strategies across various macro products including futures and FX.
Candidates should have 3-7 years of experience, excellent programming skills in Python, and a solid foundation in statistics. Compensation is competitive, ranging from $150,000 to $250,000 depending on experience.
Systematic Macro Quant Researcher — Alpha Signals in London employer: Grainstone Lee
Contact Detail:
Grainstone Lee Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systematic Macro Quant Researcher — Alpha Signals in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Grainstone Lee. A personal connection can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects in Python and statistics. This is your chance to demonstrate your expertise in scalable alpha strategies and macro products, so make it shine!
✨Tip Number 3
Prepare for the technical interview! Brush up on your programming skills and be ready to tackle real-world problems related to futures and FX. Practising coding challenges can help you feel more confident when it’s time to impress.
✨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 Systematic Macro Quant Researcher — Alpha Signals in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and your statistical knowledge. We want to see how your experience aligns with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Quantitative Alpha Researcher position. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key points stand out. This helps us get a quick grasp of your qualifications!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the easiest way for us to track your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Grainstone Lee
✨Know Your Numbers
Brush up on your statistics and quantitative analysis skills. Be prepared to discuss specific models or strategies you've worked on in the past, as well as how you approached problem-solving in those scenarios.
✨Show Off Your Python Skills
Since programming in Python is crucial for this role, make sure you can demonstrate your coding abilities. Consider preparing a small project or example that showcases your skills, and be ready to explain your thought process behind it.
✨Understand Macro Products
Familiarise yourself with various macro products like futures and FX. Being able to discuss current market trends and how they relate to your research will show that you're not just technically skilled but also have a strong grasp of the industry.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the team’s current projects, their approach to alpha strategy development, and how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.