Bangalore, Karnataka, India
Information Technology
Full-Time
UBS
Overview
Job Reference #
313255BR
Job Type
Full Time
Your role
You will be part of the Data Science STAAT Team, WMA Technology. Our Data Science team is at the heart of DAFP’s function to manage and support data science efforts across different business areas.
Your expertise
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.
How We Hire
We may request you to complete one or more assessments during the application process. Learn more
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.
313255BR
Job Type
Full Time
Your role
- build advanced statistical models to generate meaningful and actionable insights, improve decision making, optimize the business process, and help address business problems.
- work on generative ai (genai) models to deliver personalized insights and solutions for clients, financial advisors, and prospects.
- leverage advanced data science techniques to analyze large datasets and extract actionable insights.
- collaborate with cross-functional teams to integrate predictive models into wealth management decision-making processes.
- implement and utilize tools like langchain, langgraph, and vector databases to build scalable, efficient ai-driven solutions.
You will be part of the Data Science STAAT Team, WMA Technology. Our Data Science team is at the heart of DAFP’s function to manage and support data science efforts across different business areas.
Your expertise
- bachelor’s degree or higher in machine learning, computer science, computational linguistics, mathematics or other relevant technical field from premier institute.
- strong foundation in probability, statistics, linear algebra, calculus, machine learning and generative ai/llm.
- expertise in deep learning techniques and applications.
- strong understanding of generative ai (genai) including math behind the models and its practical implementations.
- hands-on experience working with large language model apis like azure openai, anthropic etc.. and cloud ecosystems like azure, aws, gcp, databricks
- proficiency in langchain, langgraph, and working with vector databases for advanced data retrieval and ai workflows.
- proficiency in python or similar programming languages, with experience in ai/ml libraries and frameworks such as tensorflow, pytorch, or hugging face.
- knowledge of financial products, including mutual funds, etfs, and client segmentation, is a plus.
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.
How We Hire
We may request you to complete one or more assessments during the application process. Learn more
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.
Similar Jobs
View All
Talk to us
Feel free to call, email, or hit us up on our social media accounts.
Email
info@antaltechjobs.in