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- Tasks: Conduct research, enhance models, and manage portfolios in a dynamic investment environment.
- Company: Join SEI, a leading global provider in investment management and technology.
- Benefits: Enjoy comprehensive health care, strong pension plans, hybrid work, and a balanced lifestyle.
- Why this job: Make an impact in finance while working with cutting-edge quantitative analysis tools.
- Qualifications: 3+ years in quantitative analysis, Python proficiency, and strong communication skills.
- Other info: Be part of a supportive culture that values collaboration, inclusion, and fun.
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.
SEI is seeking to hire a Quantitative Equity Researcher to develop stock selection signals, maintain and enhance proprietary models, and assist in managing assigned portfolios.
What you will do:
- Research (40%): Undertake research, validation, back‑testing, and production of return and risk factors; document and communicate the findings; keep current with relevant publications.
- Infrastructure (40%): Maintain and actively contribute to 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 will embody our SEI Values of courage, integrity, collaboration, inclusion, connection and fun.
SEI’s Competitive Advantage: We offer a wide range of benefits including comprehensive care for your physical and mental well‑being, strong pension plan, tuition reimbursement, 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. Reflecting our experience within financial services and financial technology, our UK office is based between the City of London and the growing technology hub of Shoreditch. We recognise that our people are our most valuable asset and are (literally) invested in your success; a healthy, happy and motivated workforce is key to our continued growth. We are focused on ensuring a healthy work‑life balance and offer our employees benefits, which include private medical care for you and your family, access to GPs online for appointments, enhanced family leave, volunteer days, access to thriving employee networks and not forgetting free fruit.
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 ensure you have reviewed and adhere to our AI use guidelines.
Quantitative Equity Researcher 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with SEI employees on LinkedIn. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your quantitative analysis projects, especially those involving Python. This will give you an edge during interviews and demonstrate your hands-on attitude.
✨Tip Number 3
Practice your communication skills. Be ready to explain complex concepts in simple terms, as you'll need to convey your findings to non-technical audiences. Role-play with friends or use online platforms to refine this skill.
✨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 SEI and being part of our collaborative culture.
We think you need these skills to ace Quantitative Equity Researcher
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, so don’t hold back!
Be Clear and Concise: When explaining your past projects or research, keep it straightforward. We appreciate strong communication skills, so make sure you can convey complex ideas simply, especially for non-technical audiences.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect how your experience matches the specific needs of our Quantitative Investment Management team. Show us why you’re the perfect fit!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at SEI Investments Company
✨Know Your Numbers
As a Quantitative Equity Researcher, you'll need to showcase your analytical skills. Brush up on key metrics and models relevant to equity strategies. Be prepared to discuss your past experiences with quantitative analysis and how you've applied these skills in real-world scenarios.
✨Master Python
Since proficiency in Python is a must, make sure you can demonstrate your coding skills during the interview. Prepare a few examples of projects where you've used Python for data analysis or model development. This will show that you're not just familiar with the language but can also apply it effectively.
✨Communicate Clearly
Strong communication skills are essential, especially when explaining complex concepts to non-technical audiences. Practice summarising your research findings and model features in simple terms. This will help you convey your ideas clearly and confidently during the interview.
✨Show Your Collaborative Spirit
SEI values collaboration, so be ready to discuss how you've worked with others in previous roles. Share examples of how you've contributed to team projects or resolved conflicts. Highlighting your ability to work well with diverse teams will align you with their company culture.
