At a Glance
- Tasks: Develop quantitative frameworks and investment signals for systematic equities.
- Company: Leading investment firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on investment strategies.
- Qualifications: Strong understanding of equity markets and proficiency in Python required.
- Other info: Collaborative environment with potential for significant career advancement.
The predicted salary is between 48000 - 72000 Β£ per year.
A leading investment firm in Greater London is seeking a researcher to join their systematic equities investment team. The role involves developing quantitative frameworks based on original research and investment signals.
Candidates should have a strong grasp of public equity markets and investment fundamentals, along with proficiency in Python.
The successful candidate will collaborate with portfolio managers to enhance live portfolios using data-driven insights, ultimately driving alpha generation in public markets.
Senior Quantitative Equity Researcher - AI-Driven Signals employer: Cooper Fitch
Contact Detail:
Cooper Fitch Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Quantitative Equity Researcher - AI-Driven Signals
β¨Tip Number 1
Network like a pro! Reach out to professionals in the investment field, especially those who work with quantitative research. A friendly chat can lead to valuable insights and even job referrals.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative frameworks and any AI-driven projects you've worked on. This will give potential employers a taste of what you can bring to their team.
β¨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding of public equity markets. Be ready to discuss how your research can drive alpha generation and enhance live portfolios.
β¨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives us a chance to see your application in the best light possible.
We think you need these skills to ace Senior Quantitative Equity Researcher - AI-Driven Signals
Some tips for your application π«‘
Show Off Your Skills: Make sure to highlight your proficiency in Python and any relevant quantitative frameworks you've developed. We want to see how your skills can contribute to our systematic equities investment team!
Know Your Stuff: Demonstrate your understanding of public equity markets and investment fundamentals. Weβre looking for someone who can bring original research and insights to the table, so donβt hold back on showcasing your knowledge!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Senior Quantitative Equity Researcher role. We love seeing candidates who take the time to align their experiences with what weβre looking for.
Apply Through Our Website: We encourage you to submit your application through our website. Itβs the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, itβs super easy!
How to prepare for a job interview at Cooper Fitch
β¨Know Your Quantitative Stuff
Make sure you brush up on your quantitative frameworks and investment signals. Be ready to discuss your previous research and how it can apply to the role. We recommend preparing specific examples of how you've used data to drive investment decisions.
β¨Show Off Your Python Skills
Since proficiency in Python is key, be prepared to demonstrate your coding skills. We suggest working through some common algorithms or data analysis tasks beforehand. You might even want to bring a portfolio of your past projects to showcase your abilities.
β¨Understand the Market Landscape
Familiarise yourself with current trends in public equity markets. We advise reading up on recent market movements and how they relate to systematic investing. This will help you engage in meaningful discussions with the interviewers about potential strategies.
β¨Collaborate Like a Pro
As you'll be working closely with portfolio managers, highlight your teamwork skills. We suggest preparing examples of past collaborations where your insights led to successful outcomes. This will show that you can effectively contribute to enhancing live portfolios.