Hybrid Quantitative Equity Researcher (Python & Signals)

Hybrid Quantitative Equity Researcher (Python & Signals)

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
115 SEI Investments (Europe) Ltd.

At a Glance

  • Tasks: Develop stock selection signals and enhance proprietary models in a dynamic environment.
  • Company: SEI Investments, a leading firm in quantitative equity research.
  • Benefits: Hybrid working, competitive salary, and comprehensive employee benefits.
  • Other info: Exciting opportunities for career growth and professional development.
  • Why this job: Join a forward-thinking team and make an impact in the finance industry.
  • Qualifications: Strong academic record, 3+ years in quantitative analysis, and Python proficiency.

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

SEI Investments (Europe) Ltd. is seeking a Quantitative Equity Researcher based in London to develop stock selection signals and enhance proprietary models. This role involves maintaining assigned portfolios and contributing to research and production infrastructure.

The ideal candidate will have a strong academic record, minimum 3 years of quantitative analysis experience, and proficiency in Python. The position offers a hybrid working environment and various employee benefits.

Hybrid Quantitative Equity Researcher (Python & Signals) employer: 115 SEI Investments (Europe) Ltd.

SEI Investments (Europe) Ltd. is an exceptional employer that fosters a dynamic and inclusive work culture in the heart of London. With a strong emphasis on employee growth, we offer comprehensive benefits and a hybrid working environment that promotes work-life balance, making it an ideal place for talented individuals to thrive and contribute to innovative quantitative research.

115 SEI Investments (Europe) Ltd.

Contact Details:

115 SEI Investments (Europe) Ltd. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Quantitative Equity Researcher (Python & Signals)

Tip Number 1

Network like a pro! Reach out to professionals in the finance and quantitative research fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects and any stock selection signals you've developed. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.

Tip Number 3

Prepare for those interviews! Brush up on your quantitative analysis techniques and be ready to discuss how you've applied them in real-world scenarios. Practising common interview questions can help you feel more confident.

Tip Number 4

Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you an edge over other candidates.

We think you need these skills to ace Hybrid Quantitative Equity Researcher (Python & Signals)

Quantitative Analysis
Python
Stock Selection Signals Development
Portfolio Management
Research Infrastructure Development
Proprietary Model Enhancement
Strong Academic Record

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 Hybrid Quantitative Equity Researcher!

Tailor Your CV:Customise your CV to reflect the specific requirements mentioned in the job description. We love seeing candidates who take the time to connect their experiences directly to what we’re looking for.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about equity research and how you can contribute to our team. This is your chance to show your personality and enthusiasm!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position.

How to prepare for a job interview at 115 SEI Investments (Europe) Ltd.

Know Your Python Inside Out

Make sure you brush up on your Python skills before the interview. Be ready to discuss specific projects where you've used Python for quantitative analysis, and think about how you can explain your coding choices clearly.

Showcase Your Quantitative Analysis Experience

Prepare to talk about your previous roles and how your quantitative analysis has led to successful outcomes. Have examples ready that demonstrate your ability to develop stock selection signals and enhance models.

Understand the Company’s Research Focus

Do some homework on SEI Investments and their approach to equity research. Familiarise yourself with their proprietary models and be prepared to discuss how your skills can contribute to their research and production infrastructure.

Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the hybrid working environment, and how success is measured in this role. This shows your genuine interest and helps you assess if it’s the right fit for you.