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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: Opportunity to mentor junior researchers and contribute to a global research team.
- Why this job: Make a real impact on live systematic strategies and engage with stakeholders.
- Qualifications: Strong background in quantitative equity research and Python skills required.
The predicted salary is between 70000 - 90000 £ 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
Please note that visa sponsorship is not available.
Senior Equity Quantitative Analyst in Slough 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 Slough
✨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 colleagues or hiring managers. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your research work, including any white papers or presentations you've done. This will give you an edge when discussing your experience and capabilities during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your communication skills. Focus on explaining complex quantitative concepts in a way that’s easy to understand for non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Senior Equity Quantitative Analyst in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your quantitative equity research experience and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about equity factor models and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Research Skills: Since this role involves producing white papers and presentations, include examples of your previous research output. If you’ve published work or have relevant projects, make sure to mention them – we’re keen to see your analytical prowess!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Berkeley Croft
✨Know Your Models Inside Out
Make sure you have a deep understanding of equity factor models and portfolio construction techniques. Be ready to discuss your previous work and how it relates to the role. Prepare to explain your thought process behind developing alpha signals and how you've improved existing models.
✨Showcase Your Research Skills
Bring along examples of your published work or equivalent research output. This could be white papers or presentations that highlight your ability to conduct original research. Be prepared to discuss the methodologies you used and the impact of your findings.
✨Brush Up on Python and Data Handling
Since strong Python skills are essential, make sure you're comfortable discussing your experience with libraries like pandas and NumPy. You might be asked to solve a problem or explain how you've worked with large datasets in the past, so practice articulating your approach.
✨Engage and Communicate Effectively
This role involves collaboration with engineering teams and client-facing discussions, so demonstrate your communication skills. Prepare to discuss how you've engaged with stakeholders in the past and how you can convey complex ideas clearly and effectively.