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Research Analyst role at UBS in Hong Kong – use empirical science to drive equity research and build data-driven investment insights.
Mid-level position with focus on statistical modeling, AI‑augmented workflow and cross‑functional collaboration.
Your role
Are you a scientist who wants to understand what drives the value of stocks? Do you enjoy using empirical methods to extract information from hundreds, or thousands, of datapoints? When your research ideas run up against data limitations, do you welcome the challenge? Do you enjoy staking out a position on what is about to happen, communicating your reasoning to skeptical audiences, and then finding out if you turned out to be right or wrong? Are you excited by the prospect of working in dynamic and diverse teams with a broad range of skillsets? Does your head turn if someone asks, “Now how might we take this hypothesis to data?” If this describes you, let’s discuss an opportunity in the world of sell-side equity research:
- learn to understand and interpret financial models of company operations
- work closely with stock analysts to design, curate, and maintain datasets that can be used to inform their investment views
- test hypotheses about companies and their suppliers, customers, and competitors
- apply hypothesis-driven empirical research methods to evaluate historical information and make projections
- connect empirical findings to investment recommendations succinctly, both verbally and in writing
- educate colleagues about replicable statistical computing workflows and habits
- bridge between client-facing stock analyst franchises and technical resources including quantitative, data, and computing platforms
- work under tight deadlines, keep up with rapid changes in market developments, and contribute to informed views about investment strategies
Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
Contact Details
UBS Business Solutions SA
UBS Recruiting
Disclaimer / Policy statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
Your team
You will be part of a globally connected technical team within the Global Research division of the investment bank. You will be aligned to a handful of equity research teams, each of which is tasked with expressing an informed view on the value of 5-30 companies in a particular sector. This department serves the needs of clients who are professional investors, by helping them identify and access investments that match their objectives. As a sector data scientist, you will develop deep commercial expertise in a small number of interconnected sectors. You will connect that specialized knowledge to your existing expertise in the empirical social sciences, helping to establish the next frontier of sell-side equity research.
Your expertise
- post-graduate degree in an empirical social science like economics, sociology, political science, demography, population health, public policy, education, or related field.
- at least 3 years’ experience in the financial services sector, ideally in a trading, specialty sales, or research role
- demonstrated track record of turning over projects under tight external deadlines (on the order of hours, not days).
- significant experience or formal training in statistical computing. Using Python as the primary coding language would be a major plus.
- a demonstrated track record of LLM‑assisted coding and other uses of AI to improve workflows would be a major plus; we are looking for someone who has applied these tools with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use
- experience in using Microsoft Excel would be a plus
- you’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use
About us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers .
Your Career Comeback
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback .