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- Tasks: Develop and enhance equity factor models and systematic strategies.
- Company: Globally recognised investment manager with a strong international presence.
- Benefits: Competitive salary, dynamic work environment, and opportunities for mentorship.
- Other info: Mentor junior researchers and contribute to a global research team.
- Why this job: Make a real impact on live systematic strategies and engage with industry leaders.
- Qualifications: Strong background in quantitative equity research and Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
We’re working with a globally recognised investment manager with a strong international footprint and a high-quality systematic investing platform. They are looking to hire a Senior Equity Quantitative Analyst into their London-based research team.
This is a senior role focused on developing and enhancing equity factor models and portfolio construction techniques, with direct impact on live systematic strategies.
You’ll be responsible for:
- Designing new alpha signals
- Improving existing models
- Working closely with portfolio engineering to ensure research is implemented into production
- Communicating research through white papers, presentations, and engagement with internal stakeholders and clients
What you’ll do:
- Develop and enhance equity factor models and systematic strategies
- Conduct original research and produce white papers / presentations
- Collaborate with engineering teams to implement models in production
- Engage with stakeholders and support client-facing discussions
- Mentor junior researchers and contribute to a global research team
What they’re looking for:
- Strong background in quantitative equity research and factor investing
- Deep understanding of portfolio construction, risk models, and optimisation
- Proven research output (published work or equivalent)
- MSc required; PhD preferred in a quantitative discipline
- Strong Python skills (pandas, numPy) and experience with large datasets
- Exposure to ML/AI applied to investing is a plus
- Strong communicator with commercial awareness and a collaborative mindset
If you’d like to hear more, feel free to get in touch directly or apply below. Please note that visa sponsorship is not available.
Senior Equity Quantitative Analyst in City of London employer: Berkeley Croft
Contact Detail:
Berkeley Croft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Equity Quantitative Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and investment sectors. Attend industry events or webinars where you can meet potential employers or colleagues. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research, models, and any white papers you've published. This is your chance to demonstrate your expertise in quantitative equity research and factor investing. Make sure it’s easily accessible when you chat with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding of portfolio construction. Be ready to discuss your previous work and how it relates to the role. Practice explaining complex concepts in simple terms – it’ll show you’re a strong communicator!
✨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 are proactive about their job search. So, get that application in and let’s make it happen!
We think you need these skills to ace Senior Equity Quantitative Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in quantitative equity research and factor investing. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Showcase Your Research: Since this role involves producing white papers and presentations, include any published work or research outputs in your application. We love seeing your ability to communicate complex ideas clearly, so make it easy for us to find your best work!
Highlight Technical Skills: Don’t forget to emphasise your Python skills and experience with large datasets. We’re looking for someone who can hit the ground running, so let us know how you’ve used these tools in your previous roles.
Engage with Us: Feel free to reach out if you have questions before applying! We’re here to help, and applying through our website is the best way to get your application in front of us. Let’s make this happen together!
How to prepare for a job interview at Berkeley Croft
✨Know Your Models Inside Out
Make sure you can discuss your experience with equity factor models and portfolio construction techniques in detail. Be prepared to explain how you've developed or enhanced these models in the past, as well as any challenges you faced and how you overcame them.
✨Showcase Your Research Skills
Bring along examples of your published work or research outputs. This could be white papers or presentations that demonstrate your ability to conduct original research. Be ready to discuss your findings and how they can apply to the role you're interviewing for.
✨Brush Up on Python and Data Handling
Since strong Python skills are a must, make sure you’re comfortable discussing your experience with libraries like pandas and NumPy. You might even want to prepare a few examples of how you've used these tools to handle large datasets effectively.
✨Engage with Stakeholders
Prepare to talk about your experience in engaging with stakeholders and clients. Think of specific instances where you communicated complex quantitative concepts in an understandable way, as this will show your strong communication skills and commercial awareness.