Company

UbsSee more

addressAddressLondon, England
CategoryScientific

Job description

Switzerland - Zürich, United Kingdom
Finance
Group Functions

Job Reference #

282485BR

City

London

Job Type

Full Time

Your role

Are you passionate about business modelling and do you want to help our businesses to get the most out of innovative Machine Learning and quantitative techniques?
We're looking for someone like that to:
  • help analyse and identify opportunities from internal operational, finance and external market data
  • leverage existing Machine Learning tools
  • prepare investigative analysis
  • support Machine Learning execution together with business.

Your team

Machine Learning and Quantitative Techniques (MLQT) works as part of the Finance Change capabilities.
Our aim is to be a leading provider of Machine Learning and quantitative modelling solutions, delivering value and practical solutions to our clients.

Your expertise

  • university education, preferably in finance, operational research or engineering
  • strong analytical, numerical and problem-solving skills
  • ability to contribute in virtual teams as a team player
  • knowhow of financial markets and banking products
  • ability to understand complex issues and explain them in simple terms
  • experience in business analysis, portfolio optimization, quantitative modelling or quantitative research
  • strong IT skills
  • excellent command of English (both written and verbal)

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.

How we hire

This role requires an assessment on application. Learn more about how we hire: www.ubs.com/global/en/careers/experienced-professionals.html

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.
Refer code: 3029932. Ubs - The previous day - 2024-03-20 04:32

Ubs

London, England
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