We want your empirical research skills to help Investment Research teams make better stock recommendations.
UBS Research is one of the most dynamic, innovative investment research departments in the world. We are pioneering a transformational approach that we believe will take investment research to a different level.
This approach places empirical scientific techniques at the core of the financial analysis that we do.
Would you like to be part of this transformation?
You will be managing targeted collaborations with Investment analysts. You will bring expertise in research design and statistical analysis, and they will bring subject matter expertise. Together you will generate insights to inform novel investment theses.
We're looking for a Research/Data Scientist to:
• Collaborate closely with stock analysts to apply hypothesis-driven empirical research methods
• Assist analyst teams in extracting insights from a broad array of observational data.
• Identify investable hypotheses in areas where you are not the subject matter expert
• Communicate effectively with stock analysts, who are expert in financial analysis and not empirical research methods
• Help to establish replicable statistical computing workflows and habits in the analyst teams
• Guide a team of junior empirical scientists as they transition from academia into investment research Your team
You'll be working in the Empirical Scientific Approaches (Global Research) team in London. This is an opportunity to be part of a dynamic, creative, globally distributed team positioned at the center of one of the top equity research departments in the world. Our goal is to empower analysts with the skills to bring scientific approaches to their investment narratives, enabling them to provide differentiated insights and novel ideas to their clients.
• Ideally 5-10 years' experience designing and executing hypothesis-driven empirical research projects. Experience in an investment research setting or other commercial enterprise would be a major plus.
• A demonstrated track record of writing effectively in English for a non-technical audience about social science research designs and statistical analysis.
• Masters' or Doctoral degree with significant training in a social science (microeconomics, quantitative sociology, behavioral science, political science, etc)
• Significant experience or formal training in coding with R or Python, and an ability to work in MS Excel
• Intellectual curiosity and excellent communication skills
• A demonstrated track record of being able to communicate and collaborate across extremely long distances, using asynchronous (GitLab / JIRA / etc) and remote synchronous (Zoom / Slack / Teams / etc) collaboration tools.
UBS is the world's largest and only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.
With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of us?
At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.
From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we're more than ourselves. Ready to be part of #teamUBS and make an impact?
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.