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- Tasks: Design and deploy innovative alpha signals while optimising portfolios.
- Company: Join a boutique hedge fund in London with a dynamic team.
- Benefits: Competitive salary, growth opportunities, and a chance to shape the future of finance.
- Other info: Rare opportunity to join a growing fund at an early stage.
- Why this job: Be at the forefront of quantitative research and make impactful decisions.
- Qualifications: 3+ years in quantitative research and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Statera Talent is recruiting a Quantitative Researcher for a systematic equity long/short boutique hedge fund in London. Reporting directly to the founder, you will research, build and deploy alpha signals. You'll own the full model flow from hypothesis to production, working across signal research, ML, portfolio construction and infrastructure. Direct cash equities long/short or equity stat-arb experience required. HFT backgrounds are not a fit.
Key Responsibilities:
- Design, test and deploy systematic alpha signals from hypothesis through production
- Contribute to portfolio construction and optimisation, including weighting schemes, risk controls, and regime-aware sizing
- Build and maintain research and production infrastructure, data pipelines, backtesting and execution tooling
- Apply ML methods, including agentic AI, to signal generation, feature engineering and research workflows
- Own work end-to-end in a small, entrepreneurial team across research, engineering and reporting
Required Experience:
- 3+ years in a quantitative research role
- Direct equities experience, cash equity L/S or stat-arb
- MSc degree in a numerical discipline
- Strong Python coding
- Full UK working eligibility required
This is a rare opportunity to join a growing fund at an early stage. For a confidential discussion, email lewis@stateratalent.com or apply with your CV.
Quantitative Researcher in City of London employer: Statera Talent
Contact Detail:
Statera Talent 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 people in the industry, attend meetups, and connect with fellow quantitative researchers. 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 projects, especially those involving alpha signals and ML methods. 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. Be ready to discuss your past experiences in detail, especially around portfolio construction and risk controls.
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the 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 highlight your quantitative research experience, especially in cash equities long/short or stat-arb. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
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 makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills: Since strong Python coding is a must, make sure to highlight your programming skills in your application. If you’ve worked on any relevant projects or have experience with ML methods, let us know! We’re keen to see your technical prowess.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy – just upload your CV and cover letter!
How to prepare for a job interview at Statera Talent
✨Know Your Models Inside Out
Make sure you can discuss your previous models and research in detail. Be prepared to explain your thought process from hypothesis to production, as this role requires ownership of the entire model flow.
✨Brush Up on Your Python Skills
Since strong Python coding is a must, practice coding problems related to data manipulation and algorithm implementation. You might be asked to solve a coding challenge during the interview, so being sharp will definitely give you an edge.
✨Understand Portfolio Construction
Familiarise yourself with portfolio optimisation techniques, weighting schemes, and risk controls. Be ready to discuss how you would apply these concepts in a real-world scenario, as they are key responsibilities in this role.
✨Showcase Your ML Knowledge
Since the job involves applying machine learning methods, brush up on relevant techniques like feature engineering and agentic AI. Prepare examples of how you've used these methods in your past work to demonstrate your expertise.