Equity Research Science Associate

UBS • New York, NY

244d

About The Position

Are you an empirical social scientist with a track record of extracting information from a few thousand data points, or a few hundred, or a few billion? Are you interested in learning and new techniques to augment your core skillset? Do you love to stake a position on what is about to happen, communicate your reasoning to others, and then find out if you turned out to be right or wrong? Do you want to understand what drives the stock markets? Are you excited by the prospect of working in diverse teams with a broad range of skillsets? Does your head turn if someone asks, 'Now how might we take this hypothesis to data?' Is research more fun for you when there is money on the line? We're looking for someone like that who can: 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), and help to educate colleagues about replicable statistical computing workflows and habits.

Requirements

• 3-5 years' experience designing and executing hypothesis-driven empirical research projects.
• Experience conducting research to inform business decisions.
• 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 ability to work in MS Excel.
• Experience in Python would be a major plus.
• Intellectual curiosity and excellent communication skills.
• Ability to stay organized and work independently on multiple projects under intense time pressure.
• Teaching experience would be a plus.
• Interest in equity (or stock) markets.

Responsibilities

• Conduct hypothesis-driven empirical research methods to sell-side equity research.
• 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 tight deadlines.
• Test hypotheses about companies, their customers, and their competitors.
• Clearly communicate investment recommendations via verbal presentations and written reports.
• Educate colleagues about replicable statistical computing workflows and habits.

Benefits

• Flexible working arrangements like part-time, job-sharing, and hybrid working.
• Purpose-led culture and global infrastructure to connect and collaborate.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities
• Education Level: Ph.D. or professional degree