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For Companies At a Glance
- Tasks: Conduct research, validate data, and enhance investment strategies in a dynamic team.
- Company: Join a leading global investment management firm with a collaborative culture.
- Benefits: Enjoy comprehensive health care, strong pension plans, tuition reimbursement, and hybrid work options.
- Why this job: Make an impact in quantitative analysis while working with innovative tools and diverse teams.
- Qualifications: 3+ years in quantitative analysis, proficiency in Python, and strong communication skills.
- Other info: Embrace a fun, inclusive environment with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Quantitative Investment Management (QiM) team manages over 50 equity strategies across a variety of geographies, investment styles and risk profiles. The team is experiencing strong asset and account growth, requiring further investment into people, data and tools.
What you will do
- Research (40%): Undertake research, validation, back‑testing and production of return and risk factors; document and communicate findings; keep current with relevant literature.
- Infrastructure (40%): Maintain and actively contribute to the enhancement and design of the research and production infrastructure.
- Communication (20%): Assist in creating and maintaining sales and service materials.
What we need from you
- Minimum 3 years of experience in quantitative analysis.
- Proficiency in Python.
- Strong communication skills: able to argue a point concisely and deal with conflicting views.
- Hands‑on attitude: willing to get involved with various projects across the group.
What we would like from you
- Strong academic record with high mathematical, statistical and computing content.
- Experience with equity factor models.
- Ability to explain results and model features to non‑technical audiences.
- Someone who embodies our SEI values of courage, integrity, collaboration, inclusion, connection and fun.
Benefits
We offer a wide range of benefits including comprehensive care for your physical and mental well‑being, a strong pension plan, tuition reimbursement, a hybrid working environment and a work‑life balance that enables you to relax, recharge and be there for the people you care about.
Equal Opportunity Employer
SEI is an Equal Opportunity Employer and so much more. After over 50 years, SEI remains a leading global provider of investment management, investment processing and investment operations solutions.
AI Acceptable Use in the Application and Interview Process
SEI acknowledges the growing integration of artificial intelligence (AI) tools into individuals’ personal and professional lives. If you intend to incorporate the use of any AI tools at any stage of the application and/or interview process, please review and adhere to our AI use guidelines.
Quantitative Equity Researcher in London employer: SEI
Contact Detail:
SEI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Equity Researcher in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the Quantitative Investment Management team. A friendly chat can give you insider info and might just 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 you demonstrate your hands-on attitude and technical prowess during interviews.
✨Tip Number 3
Practice your communication skills! Be ready to explain complex concepts in simple terms. This is key for the role, so consider doing mock interviews with friends or using online platforms to refine your pitch.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at SEI.
We think you need these skills to ace Quantitative Equity Researcher in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative analysis experience and Python proficiency right from the start. We want to see how your skills align with what we do in the QiM team!
Be Clear and Concise: When explaining your past projects or research, keep it straightforward. We appreciate strong communication skills, so make sure you can argue your points clearly and deal with any conflicting views.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect our values of courage, integrity, and collaboration. Show us how you embody these traits in your work.
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!
How to prepare for a job interview at SEI
✨Know Your Numbers
As a Quantitative Equity Researcher, you'll need to demonstrate your proficiency in quantitative analysis. Brush up on key metrics and models relevant to equity strategies. Be ready to discuss your past experiences with data validation and back-testing, as well as any specific projects where you’ve applied these skills.
✨Showcase Your Python Skills
Since proficiency in Python is a must-have, make sure you can talk about your experience with it confidently. Prepare examples of how you've used Python for data analysis or model development. If possible, bring along a small project or code snippet that highlights your coding abilities.
✨Communicate Clearly
Strong communication skills are essential, especially when explaining complex concepts to non-technical audiences. Practice summarising your research findings concisely and think about how you would present your work to someone without a technical background. This will show that you can bridge the gap between technical and non-technical stakeholders.
✨Embrace Collaboration
The role requires a hands-on attitude and collaboration across various projects. Be prepared to discuss instances where you've worked in teams, how you handle conflicting views, and how you embody values like inclusion and connection. Highlighting your teamwork skills will resonate well with the interviewers.
