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- Tasks: Research and develop systematic trading strategies using large datasets.
- 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 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
Researcher (Data Analysis) in London employer: Grainstone Lee
Contact Detail:
Grainstone Lee Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Researcher (Data Analysis) in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to quantitative research. You never know who might have a lead on your dream job or can introduce you to someone at that global investment firm.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your programming skills and experience with large datasets. Share specific examples of how you've developed systematic strategies or identified alpha signals in the past. This will help you stand out!
✨Leverage Online Platforms
Don’t just rely on traditional job boards. Use platforms like LinkedIn to showcase your expertise and connect with hiring managers. Also, check out our website for openings – applying directly through us can give you an edge!
✨Prepare for Technical Interviews
Brush up on your statistics and probability knowledge, as well as your programming skills in Python. Be ready to tackle technical questions and case studies that demonstrate your ability to design and implement trading strategies. Practice makes perfect!
We think you need these skills to ace Researcher (Data Analysis) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Quantitative Alpha Researcher. 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 the responsibilities outlined in the job description.
Showcase Relevant Projects: If you've worked on any projects related to alpha signals or automated trading strategies, make sure to mention them. We love seeing practical examples of your work that demonstrate your skills and experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you into our system quickly!
How to prepare for a job interview at Grainstone Lee
✨Know Your Data
Make sure you’re well-versed in the datasets relevant to the role. Brush up on your experience with large and complex datasets, as you'll likely be asked about specific examples of how you've identified alpha signals in the past.
✨Showcase Your Programming Skills
Since strong programming skills in Python are a must, prepare to discuss your coding experience. Bring along examples of automated trading strategies you've designed or implemented, and be ready to solve a coding challenge during the interview.
✨Understand Systematic Strategies
Familiarise yourself with systematic macro trading strategies. Be prepared to discuss how you would approach researching and developing alpha signals across various macro instruments like futures and FX, as this will demonstrate your understanding of the role.
✨Collaborate and Communicate
This role involves working closely with trading and engineering teams, so highlight your collaborative experiences. Think of examples where you’ve successfully worked in a team to bring models into production, as effective communication is key in this environment.