Overview
On Site
Full Time
Skills
Personal Development
Data Analysis
Functional Design
Testing
Scalability
Business Continuity Planning
Management
Collaboration
Analytics
Investments
Data Engineering
Python
Relational Databases
Microsoft Azure
DevOps
Web Services
Big Data
Databricks
Apache Spark
Apache Hadoop
Machine Learning (ML)
TensorFlow
PyTorch
scikit-learn
Artificial Intelligence
Workflow
Machine Learning Operations (ML Ops)
Agile
Software Development Methodology
Computer Science
Team Management
Finance
Microsoft Excel
Financial Services
Wealth Management
Corporate Banking
Asset Management
Job Details
Your role
Do you want to build your analytics and AI engineering skills whilst creating impactful applications? Are you interested in being part of an externally recognized engineering community with personal development at its core? Would you like to join a team that gives back to the community and engages with a diverse group of people?
We're looking for Analytics and AI Senior Software Engineer to:
collaborate with data analytics and AI leads within the Asset Management Chief Data Office to gather requirements and ensure their successful delivery through technology solutions
manage the development of custom capabilities and workflows within AM Analytics solutions, overseeing functional design, development, and testing
ensure the security, scalability, and business continuity of the data infrastructure
act as a techno-functional expert who understands both business and technical details, effectively communicating with the respective audience with experienced in managing relationships and translating technical findings into business insights
through the engineering guilds, you'll engage in sharing and discussing knowledge with your peers across UBS
can join our certified and distinguished engineer programs , additionally, staff networks will involve you in a wide range of volunteering and cultural activities
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.
Your team
You will join and lead the AM Technology Data Services' Analytics team. Our goal in Asset Management Technology is to drive sustainable investments and empower our teams. We are innovative, client-focused, and imaginative. We are committed to fostering a culture where individuals thrive, and our platforms are data-driven, scalable, and aligned with business objectives. We take genuine pleasure in our work, are proud of our deliverables, and enjoy collaborating within an exceptional team. Your role will be based in our office in Weehawken, NJ.
Diversity helps us grow, together. That's why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.
Your expertise
proven and hands-on experience with data engineering, including but not limited to Python, relational and non-relational databases, artificial intelligence and machine learning, Microsoft Azure and AKS, DevOps, and web services
ideally 6 years solid experience with big data platforms like Databricks (must), Apache Spark, and Hadoop
hands on experience with machine learning frameworks such as Tensorflow, PyTorch, scikit-learn
familiarity with AI model development and deployment workflows (e.g., MLOps)
capable of working in a collaborative, multi-site environment to support rapid development and delivery of results and capabilities (e.g., AGILE SDLC)
bachelor's degree or equivalent in IT/Computer Science or a related field
ideally 6-year experience in similar roles, with proven team management skills. Experience in the Financial/FinTech industry is a plus
a pragmatic approach to challenges, you excel at both listening and providing guidance to others and you stay updated on industry technical developments and are eager to learn and grow
"At UBS, we appreciate our Veterans and are committed to providing opportunities in Financial Services."
*LI-UBS
*UBS-MOGUL
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.
Do you want to build your analytics and AI engineering skills whilst creating impactful applications? Are you interested in being part of an externally recognized engineering community with personal development at its core? Would you like to join a team that gives back to the community and engages with a diverse group of people?
We're looking for Analytics and AI Senior Software Engineer to:
collaborate with data analytics and AI leads within the Asset Management Chief Data Office to gather requirements and ensure their successful delivery through technology solutions
manage the development of custom capabilities and workflows within AM Analytics solutions, overseeing functional design, development, and testing
ensure the security, scalability, and business continuity of the data infrastructure
act as a techno-functional expert who understands both business and technical details, effectively communicating with the respective audience with experienced in managing relationships and translating technical findings into business insights
through the engineering guilds, you'll engage in sharing and discussing knowledge with your peers across UBS
can join our certified and distinguished engineer programs , additionally, staff networks will involve you in a wide range of volunteering and cultural activities
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.
Your team
You will join and lead the AM Technology Data Services' Analytics team. Our goal in Asset Management Technology is to drive sustainable investments and empower our teams. We are innovative, client-focused, and imaginative. We are committed to fostering a culture where individuals thrive, and our platforms are data-driven, scalable, and aligned with business objectives. We take genuine pleasure in our work, are proud of our deliverables, and enjoy collaborating within an exceptional team. Your role will be based in our office in Weehawken, NJ.
Diversity helps us grow, together. That's why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.
Your expertise
proven and hands-on experience with data engineering, including but not limited to Python, relational and non-relational databases, artificial intelligence and machine learning, Microsoft Azure and AKS, DevOps, and web services
ideally 6 years solid experience with big data platforms like Databricks (must), Apache Spark, and Hadoop
hands on experience with machine learning frameworks such as Tensorflow, PyTorch, scikit-learn
familiarity with AI model development and deployment workflows (e.g., MLOps)
capable of working in a collaborative, multi-site environment to support rapid development and delivery of results and capabilities (e.g., AGILE SDLC)
bachelor's degree or equivalent in IT/Computer Science or a related field
ideally 6-year experience in similar roles, with proven team management skills. Experience in the Financial/FinTech industry is a plus
a pragmatic approach to challenges, you excel at both listening and providing guidance to others and you stay updated on industry technical developments and are eager to learn and grow
"At UBS, we appreciate our Veterans and are committed to providing opportunities in Financial Services."
*LI-UBS
*UBS-MOGUL
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.