Overview
On Site
USD 178,000.00 - 233,000.00 per year
Full Time
Skills
IT Management
Data Science
Functional Design
Testing
Business Continuity Planning
IT Architecture
Leadership
Agile
Innovation
Collaboration
Management
Analytics
Finance
Python
SQL Azure
Kubernetes
Microsoft Azure
Cloud Computing
DevOps
Web Services
PostgreSQL
PL/SQL
Microsoft SQL Server
MySQL
Relational Databases
Data Engineering
Data Profiling
Extract
Transform
Load
ELT
Big Data
Databricks
Apache Cassandra
Apache Spark
Apache Hadoop
Clustering
Replication
Data Visualization
Microsoft Power BI
Tableau
Machine Learning (ML)
TensorFlow
PyTorch
scikit-learn
Natural Language Processing
Artificial Intelligence
Workflow
Machine Learning Operations (ML Ops)
Computer Science
Information Technology
Financial Services
Wealth Management
Corporate Banking
Asset Management
Job Details
Your role
Are you a seasoned engineer with a passion for data science and AI? Do you want to build your analytics and AI engineering skills whilst creating impactful applications?
We are seeking a AM Analytics Technology lead to:
lead our AM Analytics platform, a cutting-edge data science and AI platform that empowers our business users to develop innovative data models using the latest technologies
collaborate with business leads across UBS Asset Management to gather and refine requirements, ensuring their successful delivery through technology solutions
act as a trusted advisor by identifying opportunities and guiding businesses on what's possible through technology and lead the development of custom capabilities and workflows within the AM Analytics solutions, overseeing the full lifecycle from functional design through development and testing
ensure the AM Analytics platform is secure, scalable, and resilient, supporting business continuity and long-term growth
serve as a techno-functional expert with a strong grasp of both business needs and technical architecture, communicate effectively with diverse audiences, manage relationships, and translate complex technical insights into actionable business value
join our Certified Engineer Development Program and participate in various technology guilds focused on data, artificial intelligence, and other domains aligned with your interests, these communities offer a platform to contribute across UBS, foster innovation, and expand your expertise
Detailed salary information:
Weehawken, New York: the salary range for this role is $178000 to $233000
The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.
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'll be joining Asset Management Technology-a truly global and diverse organization of around 1,200 professionals-and take on a leadership role within the AM Technology Data Services agile crew.
At Asset Management Technology, our mission is to drive sustainable investment outcomes and empower our teams through innovation. We are a client-focused, forward-thinking organization that values creativity and collaboration. Our culture fosters individual growth and team excellence, supported by data-driven, scalable platforms that align with business goals. We take pride in our work, celebrate our achievements.
Your expertise
ideally 5+ years of diverse experience in designing and managing innovative analytics and AI solutions; experience in the financial or fintech industry is a strong advantage
proven, hands-on experience in data engineering with strong proficiency in Python, SQL, Azure Kubernetes, and Azure Cloud. Exposure to AI, DevOps practices, and web service integration is highly valued
solid background in relational databases such as PostgreSQL, Oracle SQL, Microsoft SQL Server, and MySQL; experience with non-relational databases is a plus
strong knowledge of data engineering practices, including data profiling and ETL/ELT pipeline development
experience with big data platforms such as Databricks, Cassandra, Apache Spark, and Hadoop and skilled in working with distributed systems, clustering, and replication technologies
experience with data visualization tools such as Power BI and Tableau is a plus
practical experience with machine learning frameworks including TensorFlow, PyTorch, and scikit-learn and familiarity with natural language processing (NLP) and AI model development and deployment workflows (e.g., MLOps)
Bachelor's degree in computer science, Information Technology, or a related field, or equivalent practical experience
"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.
Salary information
US Only: The expected salary range for this role is $178000 to $233000 based on factors including, but not limited to, experience, qualifications, education, location and skill level. Please see Your role section for detailed salary information.
Are you a seasoned engineer with a passion for data science and AI? Do you want to build your analytics and AI engineering skills whilst creating impactful applications?
We are seeking a AM Analytics Technology lead to:
lead our AM Analytics platform, a cutting-edge data science and AI platform that empowers our business users to develop innovative data models using the latest technologies
collaborate with business leads across UBS Asset Management to gather and refine requirements, ensuring their successful delivery through technology solutions
act as a trusted advisor by identifying opportunities and guiding businesses on what's possible through technology and lead the development of custom capabilities and workflows within the AM Analytics solutions, overseeing the full lifecycle from functional design through development and testing
ensure the AM Analytics platform is secure, scalable, and resilient, supporting business continuity and long-term growth
serve as a techno-functional expert with a strong grasp of both business needs and technical architecture, communicate effectively with diverse audiences, manage relationships, and translate complex technical insights into actionable business value
join our Certified Engineer Development Program and participate in various technology guilds focused on data, artificial intelligence, and other domains aligned with your interests, these communities offer a platform to contribute across UBS, foster innovation, and expand your expertise
Detailed salary information:
Weehawken, New York: the salary range for this role is $178000 to $233000
The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.
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'll be joining Asset Management Technology-a truly global and diverse organization of around 1,200 professionals-and take on a leadership role within the AM Technology Data Services agile crew.
At Asset Management Technology, our mission is to drive sustainable investment outcomes and empower our teams through innovation. We are a client-focused, forward-thinking organization that values creativity and collaboration. Our culture fosters individual growth and team excellence, supported by data-driven, scalable platforms that align with business goals. We take pride in our work, celebrate our achievements.
Your expertise
ideally 5+ years of diverse experience in designing and managing innovative analytics and AI solutions; experience in the financial or fintech industry is a strong advantage
proven, hands-on experience in data engineering with strong proficiency in Python, SQL, Azure Kubernetes, and Azure Cloud. Exposure to AI, DevOps practices, and web service integration is highly valued
solid background in relational databases such as PostgreSQL, Oracle SQL, Microsoft SQL Server, and MySQL; experience with non-relational databases is a plus
strong knowledge of data engineering practices, including data profiling and ETL/ELT pipeline development
experience with big data platforms such as Databricks, Cassandra, Apache Spark, and Hadoop and skilled in working with distributed systems, clustering, and replication technologies
experience with data visualization tools such as Power BI and Tableau is a plus
practical experience with machine learning frameworks including TensorFlow, PyTorch, and scikit-learn and familiarity with natural language processing (NLP) and AI model development and deployment workflows (e.g., MLOps)
Bachelor's degree in computer science, Information Technology, or a related field, or equivalent practical experience
"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.
Salary information
US Only: The expected salary range for this role is $178000 to $233000 based on factors including, but not limited to, experience, qualifications, education, location and skill level. Please see Your role section for detailed salary information.
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.