Equity Research Science Associate
| Company | UBS |
|---|---|
| Location | New York, NY, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Mid Level, Senior |
Requirements
- 3-5 years’ experience designing and executing hypothesis-driven empirical research projects (research experience gained while earning a degree counts)
- Experience conducting research to inform business decisions would be a major plus
- PhD in an empirical social science like economics, sociology, political science, demography, population health, public policy, education, or related field (Masters’ degree holders can also be competitive, with sufficient experience)
- Significant experience or formal training in statistical computing, and an ability to work in MS Excel
- Experience in Python would be a major plus
- Intellectual curiosity, excellent communication skills, and ability to stay organized and work independently on multiple projects under extremely intense time pressure
Responsibilities
- apply hypothesis-driven empirical research methods to sell-side equity research
- learn to build and maintain financial models to evaluate historical information and generate projections
- use social science frameworks and industry knowledge to arrive at understandable investment opinions
- remain current on market developments to help frame investment strategies
- come to an informed view under a tight deadline
- test hypotheses about companies, their customers, and their competitors
- clearly communicate investment recommendations based on all of that work (via both verbal presentations and in written reports)
- help to educate colleagues about replicable statistical computing workflows and habits
Preferred Qualifications
- Teaching experience would be a plus
- Interest in equity (or stock) markets