Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse stock values and build financial models using Excel.
- Company: UBS is a leading global wealth manager operating in over 50 countries.
- Benefits: Enjoy a collaborative culture, flexible work options, and opportunities for growth.
- Why this job: Join a specialised team to pioneer innovative research methods in equity analysis.
- Qualifications: Post-graduate degree and 2 years of empirical research experience required.
- Other info: Proficiency in Python and finance certifications are advantageous.
The predicted salary is between 43200 - 72000 £ per year.
About the Role
Are you interested in understanding what drives stock values? Do you enjoy using empirical methods to analyze large datasets? If you thrive on challenging data limitations, making informed predictions, and communicating your insights effectively, then this opportunity in sell-side equity research might be for you.
Key Responsibilities
- Build and maintain financial models using Excel.
- Test hypotheses about companies, including their suppliers, customers, and competitors.
- Apply empirical research methods to evaluate historical data and forecast future trends.
- Communicate investment recommendations clearly, both verbally and in writing.
- Educate colleagues on statistical computing workflows and best practices.
- Work under tight deadlines, stay updated on market developments, and contribute to investment strategies.
Team and Environment
You will join a small, specialized equity research team within a large global investment bank, focusing on 5-30 companies within a sector. Your unique expertise in empirical social sciences will help pioneer new approaches in sell-side research.
Qualifications
- Post-graduate degree in economics, sociology, political science, demography, public health, education, or related fields.
- At least 2 years of experience in hypothesis-driven empirical research. PhD research experience is also applicable.
- Proven ability to deliver projects under tight deadlines.
- Significant experience in statistical computing; proficiency in Python is a major plus.
- Experience with Microsoft Excel is desirable.
- Relevant finance certifications such as CFA Level 1 are advantageous.
Our Culture
We value diverse skills, experiences, and backgrounds. Our inclusive culture fosters collaboration, growth, and flexibility. We are committed to disability inclusion and provide accommodations during the recruitment process.
Equal Opportunity Statement
UBS is an Equal Opportunity Employer, supporting diversity and inclusion within our workforce.
Equity Research Science Associate employer: UBS Financial Services
Contact Detail:
UBS Financial Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equity Research Science Associate
✨Tip Number 1
Familiarise yourself with the latest trends in equity research and financial modelling. This will not only help you understand the role better but also allow you to engage in informed discussions during interviews.
✨Tip Number 2
Brush up on your statistical computing skills, especially in Python. Being able to demonstrate your proficiency in this area can set you apart from other candidates and show that you're ready to tackle the data challenges of the role.
✨Tip Number 3
Network with professionals in the equity research field. Attend industry events or webinars to connect with current employees at UBS or similar firms. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your previous research projects in detail. Be ready to explain your methodologies, findings, and how they relate to investment strategies, as this will showcase your analytical skills and relevance to the role.
We think you need these skills to ace Equity Research Science Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in empirical research and statistical computing. Emphasise any projects where you've built financial models or analysed large datasets, as these are key responsibilities for the role.
Craft a Strong Cover Letter: In your cover letter, express your passion for equity research and your understanding of what drives stock values. Mention specific examples of how you've used empirical methods to make informed predictions in past roles.
Highlight Relevant Skills: Clearly outline your proficiency in Python and Excel, as well as any finance certifications like CFA Level 1. These skills are crucial for the position and should be prominently featured in your application.
Showcase Communication Skills: Since the role requires clear communication of investment recommendations, include examples of how you've effectively communicated complex data insights in previous positions, both verbally and in writing.
How to prepare for a job interview at UBS Financial Services
✨Showcase Your Analytical Skills
Prepare to discuss your experience with empirical research methods and how you've applied them in past projects. Be ready to explain your approach to analysing large datasets and the insights you've derived from them.
✨Demonstrate Financial Modelling Proficiency
Since building financial models is a key responsibility, brush up on your Excel skills. Consider bringing examples of models you've created or worked on, and be prepared to discuss the methodologies you used.
✨Communicate Clearly and Effectively
Practice articulating your investment recommendations succinctly. You may be asked to present your findings, so focus on how you can convey complex information in an understandable way, both verbally and in writing.
✨Stay Informed About Market Trends
Research current market developments relevant to the companies you'll be focusing on. Being knowledgeable about recent trends will not only impress your interviewers but also demonstrate your genuine interest in the role.
