Hybrid Quantitative Equity Researcher: Signals & Models in London

Hybrid Quantitative Equity Researcher: Signals & Models in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
SEI

At a Glance

  • Tasks: Develop stock selection signals and enhance quantitative models.
  • Company: SEI, a leading firm in London with a focus on innovation.
  • Benefits: Strong pension plan and flexible hybrid work options.
  • Other info: Opportunity for growth in a collaborative and innovative environment.
  • Why this job: Join a dynamic team and make an impact in equity research.
  • Qualifications: 3+ years of experience, Python proficiency, and strong communication skills.

The predicted salary is between 60000 - 80000 € per year.

SEI in London is looking for a Quantitative Equity Researcher to develop stock selection signals and enhance models. With a focus on quantitative analysis, the candidate will need at least 3 years of experience, proficiency in Python, and strong communication skills. This role includes research, maintaining infrastructure, and creating materials.

Benefits include a strong pension plan and hybrid work options.

Hybrid Quantitative Equity Researcher: Signals & Models in London employer: SEI

SEI is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer comprehensive benefits including a robust pension plan and flexible hybrid working arrangements, ensuring our team members can thrive both professionally and personally. Join us to be part of a forward-thinking company that values your contributions and supports your career development in quantitative equity research.

SEI

Contact Detail:

SEI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Quantitative Equity Researcher: Signals & Models in London

Tip Number 1

Network like a pro! Reach out to current or former employees at SEI through LinkedIn. A friendly chat can give us insider info and maybe even a referral!

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your quantitative analysis projects, especially those involving Python. This will help us stand out during interviews.

Tip Number 3

Practice makes perfect! Mock interviews with friends or mentors can help us refine our communication skills and get comfortable discussing our research and models.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our approach based on the specific role and company culture.

We think you need these skills to ace Hybrid Quantitative Equity Researcher: Signals & Models in London

Quantitative Analysis
Stock Selection Signals
Model Enhancement
Python
Communication Skills
Research Skills
Infrastructure Maintenance

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with quantitative analysis and Python in your application. We want to see how you've used these skills in previous roles, so don’t hold back!

Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or achievements that relate to stock selection signals and model enhancement. It’ll make you stand out to us!

Communicate Clearly:Since strong communication skills are key for this position, ensure your written application is clear and concise. We appreciate well-structured thoughts and a professional tone, so keep it sharp!

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!

How to prepare for a job interview at SEI

Know Your Quantitative Stuff

Make sure you brush up on your quantitative analysis skills before the interview. Be ready to discuss your previous projects and how you've developed stock selection signals or enhanced models. They’ll want to see your thought process, so be prepared to explain your methodologies clearly.

Show Off Your Python Skills

Since proficiency in Python is a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss how you've used Python in your past work. Practise coding challenges related to data analysis and model building to showcase your expertise.

Communicate Clearly

Strong communication skills are key for this role, so practice explaining complex concepts in simple terms. Think about how you can convey your research findings effectively, as you'll need to create materials that others can understand. Consider doing mock interviews with friends to refine your delivery.

Research SEI and Their Culture

Before the interview, take some time to learn about SEI and their approach to quantitative equity research. Understanding their values and how they operate will help you tailor your answers and show that you're genuinely interested in the company. Plus, it’ll give you a chance to ask insightful questions!