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- Tasks: Develop alpha signals and work with large datasets to drive investment strategies.
- Company: Dynamic hedge fund focused on innovative quantitative research.
- Benefits: Competitive salary, performance bonuses, and opportunities for professional growth.
- Why this job: Make a real impact by turning research into profit in a fast-paced environment.
- Qualifications: Experience in quant research, strong Python skills, and a passion for markets.
- Other info: Collaborative team culture with direct feedback from portfolio managers.
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 employer: Alexander Chapman
Contact Detail:
Alexander Chapman Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Researcher
✨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 when discussing your experience.
✨Tip Number 3
Get ready for the interview grind! Brush up on your Python skills and be prepared to discuss how you've tackled messy datasets. They want to see your thought process, so practice explaining your methods clearly.
✨Tip Number 4
Don't forget to apply through our website! We’re always looking for talented individuals who are passionate about markets and quant research. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Quantitative Researcher
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, but remember, only include them if they genuinely add value to your work.
Connect the Dots: We love candidates who can take ideas from hypothesis to live deployment. Share examples of how you've partnered with PMs and how your research has translated into PnL. It shows us you understand the bigger picture!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Alexander Chapman
✨Know Your Alpha
Make sure you can clearly articulate the alpha signals you've developed in your previous roles. Be ready to discuss specific examples, including how they performed and what insights you gained from them. This shows you not only understand the theory but also have practical experience.
✨Data is Your Best Friend
Familiarise yourself with the types of large datasets you'll be working with. Brush up on your skills in handling messy data and be prepared to discuss your approach to cleaning and analysing it. Demonstrating your comfort with data will set you apart.
✨Statistical Techniques Matter
Be ready to talk about the statistical and machine learning techniques you've applied in your research. Focus on how you've used these tools to solve real problems rather than just for the sake of using them. This shows you have a practical mindset.
✨Engage with the Market
Show genuine interest in the markets beyond just the models. Prepare to discuss current market trends and how they might impact your research. This will demonstrate that you care about the bigger picture and are not just focused on the numbers.