Equity Research Science Associate

UBS Financial Services; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a skilled researcher to join their specialized equity research team. This role involves building financial models, analyzing large datasets, and communicating investment recommendations. The ideal candidate will have a strong background in empirical research, statistical computing, and a post-graduate degree in relevant fields. This is a fantastic opportunity to contribute to innovative approaches in sell-side research within a global investment bank, where your insights will directly influence investment strategies. If you thrive under pressure and enjoy working with data, this role is perfect for you.

Qualifications

• 2+ years of experience in hypothesis-driven empirical research.
• Proficiency in statistical computing and Python is a major plus.

Responsibilities

• Build and maintain financial models using Excel.
• Apply empirical research methods to evaluate historical data.

Skills

Empirical research methods

Statistical computing

Python

Microsoft Excel

Investment analysis

Education

Post-graduate degree in economics or related fields

Finance certifications (CFA Level 1)

Tools

Microsoft Excel

Statistical software

Job description

http://jobs.ubs.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25008&siteid=5012&PageType=JobDetails&jobid=324162

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

1. Build and maintain financial models using Excel.
2. Test hypotheses about companies, including their suppliers, customers, and competitors.
3. Apply empirical research methods to evaluate historical data and forecast future trends.
4. Communicate investment recommendations clearly, both verbally and in writing.
5. Educate colleagues on statistical computing workflows and best practices.
6. 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

1. Post-graduate degree in economics, sociology, political science, demography, public health, education, or related fields.
2. At least 2 years of experience in hypothesis-driven empirical research. PhD research experience is also applicable.
3. Proven ability to deliver projects under tight deadlines.
4. Significant experience in statistical computing; proficiency in Python is a major plus.
5. Experience with Microsoft Excel is desirable.
6. Relevant finance certifications such as CFA Level 1 are advantageous.

About UBS

UBS is the world’s largest and most comprehensive global wealth manager, operating in over 50 countries through divisions like Global Wealth Management, Personal & Corporate Banking, Asset Management, and the Investment Bank.

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.