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- Tasks: Develop alpha signals and work with large datasets to drive impactful strategies.
- Company: Dynamic hedge fund focused on innovative quantitative research.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Join a forward-thinking team where your ideas can lead to tangible results.
- Why this job: Make a real impact by translating research into profit and working closely with portfolio managers.
- Qualifications: Experience in systematic strategies, strong Python skills, and a passion for markets.
The predicted salary is between 60000 - 80000 ÂŁ per year.
We are working with a systematic hedge fund that’s continuing to build out its research team, specifically looking for a senior quant focused on alpha generation across equities and futures. This isn’t a pure “support” seat, they want someone who can own research, generate ideas, and push strategies toward production in a setup where research actually translates into PnL.
What you’d be doing:
- Developing and iterating on alpha signals across equities and/or futures
- Working with large, messy datasets (market + alternative)
- Applying statistical / ML techniques where appropriate (not for the sake of it)
- Taking ideas from initial hypothesis through to live deployment
- Partnering closely with PMs, fairly tight feedback loop between research and capital
They’re interested in people who:
- Have real experience in systematic strategies / quant research
- Can point to alpha they’ve worked on (live is ideal, strong research is fine)
- Are strong in Python and comfortable working end-to-end
- Actually care about markets, not just models
Senior Quantitative Researcher in London employer: Alexander Chapman
Contact Detail:
Alexander Chapman Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Researcher in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at hedge funds. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your alpha generation projects and any successful strategies you've implemented. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Stay updated on market trends and news. Being able to discuss current events and their impact on equities and futures will show your genuine interest in the markets, which is key for this role.
✨Tip Number 4
Apply through our website! We make it easy for you to connect with us directly. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Senior Quantitative Researcher in London
Some tips for your application 🫡
Show Your Quant Skills: Make sure to highlight your experience in systematic strategies and quant research. We want to see the alpha you've worked on, so don’t hold back on sharing those success stories!
Be Data Savvy: Since you'll be working with large datasets, let us know about your experience handling messy data. Mention any statistical or ML techniques you've applied effectively, but remember, it’s all about relevance, not just buzzwords.
Connect the Dots: We love seeing how you take ideas from hypothesis to live deployment. Share examples of your end-to-end process and how you’ve partnered with PMs to ensure your research translates into real PnL.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Alexander Chapman
✨Know Your Alpha Signals
Make sure you can discuss specific alpha signals you've developed or worked on. Be ready to explain the thought process behind them and how they contributed to PnL. This shows you not only understand the theory but also have practical experience.
✨Get Comfortable with Data
Since you'll be working with large, messy datasets, brush up on your data manipulation skills. Familiarise yourself with tools and libraries in Python that can help you clean and analyse data efficiently. Being able to demonstrate this skill will set you apart.
✨Showcase Your Statistical Skills
Prepare to discuss the statistical and machine learning techniques you've applied in your previous roles. Focus on how you chose the right methods for the right problems, rather than just listing techniques. This will highlight your critical thinking and practical application.
✨Engage with the Market
Demonstrate your passion for the markets beyond just models. Be prepared to discuss current market trends and how they might impact your research. This shows that you care about the bigger picture and are not just focused on the numbers.