Overview
On Site
USD 176,000.00 - 229,000.00 per year
Full Time
Skills
Data Science
IT Management
Functional Design
Testing
Scalability
Business Continuity Planning
Value Engineering
Collaboration
Core Data
Data Analysis
Business Data
Data Integration
Investments
Python
Kubernetes
Microsoft Azure
Cloud Computing
DevOps
Web Services
Data Visualization
Tableau
Microsoft Power BI
PostgreSQL
PL/SQL
SQL
MySQL
RDBMS
Machine Learning (ML)
TensorFlow
PyTorch
scikit-learn
Natural Language Processing
Machine Learning Operations (ML Ops)
Data Engineering
Data Profiling
Extract
Transform
Load
ELT
Workflow
Big Data
Apache Cassandra
Apache Spark
Apache Hadoop
Databricks
Clustering
Replication
Agile
Software Development Methodology
Computer Science
Management
Analytics
Artificial Intelligence
Finance
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 a seasoned engineer with a passion for data science and AI?
We are seeking a AM Analytics Technology Lead to:
collaborate with business users across UBS Asset Management 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
engage in sharing and discussing knowledge through the engineering guilds across UBS
through the engineering guilds you'll become engaged in sharing and discussing knowledge with your peers and with staff networks you'll get involved in a wide range of volunteering and cultural topics, once you've met your team and joined our certified engineer's development program, you'll also be able to become engaged in sharing and discussing knowledge with your peers through our engineering guilds and take part in a wide range of volunteering and cultural events and topics through our internal networks
Detailed salary information:
New York: the salary range for this role is $176000 to $229000
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 work as part of the Core Data Services agile crew.
Our teams are dedicated to connecting the dots within Asset Management. We design, build, and manage the technology stack for handling asset management data services at scale. This includes data analytics, AI capabilities, business data model expression, data integration, and efficient, high-performance data delivery. You'll be joining us in Asset Management Technology, a wider, truly diverse of around 1,200 people from all over the world.
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 expertise
proven and hands-on experience with data engineering, Python, SQL, AI exposure, Azure Kubernetes, Azure cloud, DevOps exposure and web service integration skills
experience in data visualization tools such as Tableau, PowerBi etc.
solid experience with relational DBs like Postgres, Oracle SQL, MS SQL, or MySQL. Non-relational DB experience is a plus
hands on experience with machine learning frameworks (e.g. Tensorflow, PyTorch, scikit-learn)
knowledge of natural language processing (NLP). Familiarity with AI model development and deployment workflows (e.g., MLOps)
knowledge in the Data Engineering space, including data profiling and ETL/ELT workflows and experience in big data platforms like Cassandra , Apache Spark, Hadoop, and Databricks etc.
experience working with distributed systems, clustering, and replication technologies and capable of working in a collaborative, multi-site environment to support rapid development and delivery of results and capabilities (i.e. AGILE SDLC)
bachelors (IT/Computer Science Preferred) or equivalent experience and ideally 10 years plus of diverse experience in designing and managing innovative analytics and AI solutions and experience in the Financial/FinTech industry is a plus
"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 $176000 to $229000 based on factors including, but not limited to, experience, qualifications, education, location and skill level. Please see Your role section for detailed salary information.
Do you want to build your analytics and AI engineering skills whilst creating impactful applications?
Are you a seasoned engineer with a passion for data science and AI?
We are seeking a AM Analytics Technology Lead to:
collaborate with business users across UBS Asset Management 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
engage in sharing and discussing knowledge through the engineering guilds across UBS
through the engineering guilds you'll become engaged in sharing and discussing knowledge with your peers and with staff networks you'll get involved in a wide range of volunteering and cultural topics, once you've met your team and joined our certified engineer's development program, you'll also be able to become engaged in sharing and discussing knowledge with your peers through our engineering guilds and take part in a wide range of volunteering and cultural events and topics through our internal networks
Detailed salary information:
New York: the salary range for this role is $176000 to $229000
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 work as part of the Core Data Services agile crew.
Our teams are dedicated to connecting the dots within Asset Management. We design, build, and manage the technology stack for handling asset management data services at scale. This includes data analytics, AI capabilities, business data model expression, data integration, and efficient, high-performance data delivery. You'll be joining us in Asset Management Technology, a wider, truly diverse of around 1,200 people from all over the world.
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 expertise
proven and hands-on experience with data engineering, Python, SQL, AI exposure, Azure Kubernetes, Azure cloud, DevOps exposure and web service integration skills
experience in data visualization tools such as Tableau, PowerBi etc.
solid experience with relational DBs like Postgres, Oracle SQL, MS SQL, or MySQL. Non-relational DB experience is a plus
hands on experience with machine learning frameworks (e.g. Tensorflow, PyTorch, scikit-learn)
knowledge of natural language processing (NLP). Familiarity with AI model development and deployment workflows (e.g., MLOps)
knowledge in the Data Engineering space, including data profiling and ETL/ELT workflows and experience in big data platforms like Cassandra , Apache Spark, Hadoop, and Databricks etc.
experience working with distributed systems, clustering, and replication technologies and capable of working in a collaborative, multi-site environment to support rapid development and delivery of results and capabilities (i.e. AGILE SDLC)
bachelors (IT/Computer Science Preferred) or equivalent experience and ideally 10 years plus of diverse experience in designing and managing innovative analytics and AI solutions and experience in the Financial/FinTech industry is a plus
"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 $176000 to $229000 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.