Job Description
309849BR
Job Type
Full Time
Your role
Are you interested in pursuing your career in Asset Management? Does working in a data driven business excite you? Do you want to be part of the AI revolution by performing hands on data analysis, develop models, and built cutting edge genAI applications? Are you ready for the challenge of working with agile teams? We are looking for someone like that who can:
- develop next generation of Analytics and AI models at UBS that scale into production and are easy to maintain
- autonomously collect, clean, and transform data for training and maintenance of models
- build multi agent applications that are platform independent and cooperate across applications
- identify relevant research and explores AI and analytics tools that continuously improves the way we work
- contribute to building an infrastructure that accelerates the pace of model exploration and improve model serving and maintenance
Your team
You’ll be working in the Chief Data Office (CDO) within UBS Global Asset Management. We’re responsible for defining data strategy and supporting the management of core data sets used across Asset Management. Our team is structured to encompass several functions, including Digital Data Services, Data Mastering & Governance, Data Architecture, and Data Analytics & AI. We’re based in New York City, Chicago, Zurich, and Pune.
Your expertise
You have:
- minimum of 5 years of experience in collecting, analyzing, and synthesizing results from various data sources
- minimum of 5 years of experience with Python, SQL, and Gitlab
- advanced skills in using Machine Learning and Generative AI tools
- ability to explain and present your analyses and models to audiences with varying levels of expertise
- analytical and problem-solving skills together with good time management and organization of your own work
- strong technical writing and documentation skills combined with a disciplined agile delivery mindset
- data domain knowledge of market data, security reference data, macroeconomics indicators, equity fundamental data, trades and positions data, risk data is a plus
- BS in Mathematics, Computer Science, Statistics, or equivalent
You are:
- experienced in developing, training, and validating AI models
- curious, proactive and self-driven with strong interest in data science and Generative AI
- great in communicating, facilitating, and managing stakeholders (and you know how to handle challenging situations)
- able to explain technical concepts in simple, intuitive terms to facilitate collaboration
- co-operative and team-oriented, while being able to motivate and organize yourself and complete tasks autonomously to high quality standards
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 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.