Job Description

India
Research
Investment Bank

Job Reference #

320081BR

City

Hyderabad

Job Type

Full Time

Your role

Are you an experienced in hypothesis driven empirical research to drive business decisions? Do you have the creativity and technical fluency it takes to learn about an investment debate, identify informative hypotheses about that debate, and then investigate those hypotheses in data? Do you enjoy using empirical methods to extract information from hundreds, or thousands, of datapoints?


The role will require the candidate to:

work closely with a global team of research analysts to generate novel insights from data participate in brainstorming meetings to design, execute, and deliver novel solutions that address investment debates. translate business requirements into project plans. design solutions, own specifications used for development and ensure sound execution transform structured and unstructured big data into actionable insights develop, maintain, and enhance high-quality data assets built from various sources

Your team

You will be part of the Empirical Scientific Approaches (ESA) team in Hyderabad. We are a team with global reach, bringing hypothesis-driven empirical methods and enterprise statistical computing practices to sell-side equity research. We work by establishing deep collaborative partnerships with fundamental stock analysts in one of the leading investment research departments in the world. This is an opportunity to play an important role in establishing the next frontier of sell-side equity research, by being part of the key collaboration function within this team.

Your expertise

You Have:

2-5 years' experience using hypothesis driven empirical research to drive business decisions, ideally within a financial services organization significant experience or formal training in statistical computing. Using Python as the primary coding language would be a major plus. track record of managing processes that balance demands of multiple stakeholders track record of collaborating and communicating across the disciplinary boundaries of social science, statistics, and stock analysis university degree, preferably in a data analysis related field e.g. statistics, quantitative, financial analysis, mathematics , degree in an empirical social science like economics, sociology, political science, demography, population health, public policy or related field would be a major plus. experience in using Microsoft Excel finance industry-related certifications (such as CFA, CQF) would be a plus. fluency with major financial data sources (Bloomberg, FactSet, Haver, etc) would be a plus an analytical mindset and a sharp eye for detail. excellent organizational, presentation and time management skills ability to communicate with diverse audiences ranging from highly technical colleagues to senior stakeholders the ability to balance multiple projects and priorities. proficiency in Excel. experience in financial services and preferably in equity research is a plus

About us

UBS is the world's largest and the 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.



We have a presence in all major financial centers in more than 50 countries.

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. 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.

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.