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- Tasks: Develop stock selection signals and manage portfolios using advanced quantitative analysis.
- Company: Global investment management firm based in London with a focus on innovation.
- Benefits: Hybrid working, comprehensive health care, and a strong emphasis on work-life balance.
- Why this job: Join a dynamic team and make a real impact in the world of finance.
- Qualifications: 3+ years of quantitative analysis experience and proficiency in Python.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A global investment management firm located in London is looking for a Quantitative Equity Researcher. The role involves developing stock selection signals, managing portfolios, and enhancing research infrastructure.
Candidates should have at least 3 years of quantitative analysis experience, proficiency in Python, and strong communication skills.
This position offers benefits like hybrid working, comprehensive health care, and a focus on work-life balance.
Quantitative Equity Researcher — Build Signals & Models employer: SEI Investments Company
Contact Detail:
SEI Investments Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Equity Researcher — Build Signals & Models
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the firm on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your quantitative analysis projects, especially those involving Python. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. This will help us refine our communication skills and get comfortable discussing complex topics.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match the job description perfectly.
We think you need these skills to ace Quantitative Equity Researcher — Build Signals & Models
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative analysis experience and Python proficiency in your application. We want to see how your skills align with the role of a Quantitative Equity Researcher, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your past experiences relate to developing stock selection signals and managing portfolios. We love seeing candidates who take the time to connect their background to what we do!
Be Clear and Concise: When writing your application, keep it clear and to the point. Strong communication skills are key for us, so make sure your writing reflects that. Avoid jargon unless it’s necessary, and focus on making your points easy to understand.
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 the role. Plus, it’s super easy – just follow the prompts and you’ll be set!
How to prepare for a job interview at SEI Investments Company
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative analysis skills before the interview. Be ready to discuss your experience with stock selection signals and portfolio management, as well as any models you've developed. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Show Off Your Python Skills
Since proficiency in Python is a must-have, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain how you've used Python in your previous roles. Practise coding challenges related to finance to show you’re sharp and ready to tackle real-world problems.
✨Communicate Clearly
Strong communication skills are key for this role, so practice explaining complex concepts in simple terms. Think about how you would present your findings to someone without a technical background. This will show that you can bridge the gap between data and decision-making.
✨Embrace the Work-Life Balance
This firm values work-life balance, so be prepared to discuss how you manage your time and maintain productivity. Share examples of how you’ve balanced intense projects with personal time, showing that you understand the importance of a healthy work environment.
