Overview
On Site
USD 155,000.00 - 186,000.00 per year
Full Time
Skills
Documentation
Analytical Skill
Distribution
Data Engineering
Sourcing
Modeling
Machine Learning Operations (ML Ops)
Regulatory Compliance
Functional Requirements
ROOT
Sustainability
Agile
Training
Systems Management
Databricks
PySpark
DevOps
Kubernetes
Docker
GitLab
Machine Learning (ML)
Probability
Linear Regression
Logistics
Time Series
Regression Analysis
Wealth Management
Corporate Banking
Asset Management
Finance
Artificial Intelligence
Collaboration
Recruiting
Job Details
Your role
Are you an innovative thinker? Are you focused on the details, even when under pressure? Do you enjoy delivering enhanced change capabilities across a range of business functions?
We're looking for an Associate Director, Data Engineer to:
Analyze design, code, test, documentation, and other data-engineering artifacts. Transform data into valuable insights that inform business decisions, making use of the internal data platforms and applying appropriate analytical techniques.
Prepare data and models to represent business information cleanly and accurately, applying industry standards, open standards, and internal standards where appropriate.
Use data platform infrastructure e?ectively to engineer reliable data pipelines for sourcing, processing, distributing, and storing data in di?erent ways. Understand and apply a range of data engineering techniques including data sourcing and modelling to stream processing and ML ops.
Develop, train, and apply machine-learning models to make better predictions, automate manual processes, and solve challenging business problems. Ensure the quality, security, reliability, and compliance of solutions by applying digital principles and implementing both functional and non-functional requirements.
Build observability into solutions, monitor production health, help to resolve incidents, and remediate the root cause of risks and issues. Reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind.
Participate in agile ceremonies, and collaborate with engineers, product managers, designers, and others. Understand, represent, and advocate for client needs.
Deliver frequent releases that improve data products, pipelines, models, and services. Provide meaningful and actionable insights derived by souring, transforming, and processing data.
Can work Hybrid (In-Office/Remote).
Qualified Applicants apply through Please reference 001743. NO CALLS PLEASE. EOE/M/F/D/V. #LI-DNI
Salary & Work Schedule: $155,000 to $186,000 Per Year, 40 hrs/wk. 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.
This notice is being posted in connection with an application for permanent Alien Labor Certification. Any person may comment or provide documentary evidence bearing on this application to: U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.
Your team
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.
You'll be working in the Data Engineer team in Weehawken, NJ.
Your expertise
Education & Experience Requirement
This position requires a Master's degree or foreign equivalent in Computer Systems Management, Engineering (any), or a related field of study and two (2) years of experience in the job offered or as a Computer Systems Engineer, Software Engineer, or a related occupation.
Alternate Education & Experience Requirement
The employer will alternatively accept a Bachelor's degree or foreign equivalent in Computer Systems Management, Engineering (any), or a related field of study and five (5) years of experience in the job offered or as a Computer Systems Engineer, Software Engineer, or a related occupation.
Position requires experience with the following:
Databricks; pySpark; DevOps; Kubernetes; Docker
GitLab; Machine Learning; Airflow; Probability Theory
Regression methods including Linear Regression and Logistics Regression
Statistical significant tests including R Square, T Test, and P Value
Statistical time series analysis including NOVA, Moving Averages, Vector regression analysis, and ARIMA
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.
Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We're dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That's why collaboration is at the heart of everything we do. Because together, we're more than ourselves.
We're committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
Are you an innovative thinker? Are you focused on the details, even when under pressure? Do you enjoy delivering enhanced change capabilities across a range of business functions?
We're looking for an Associate Director, Data Engineer to:
Analyze design, code, test, documentation, and other data-engineering artifacts. Transform data into valuable insights that inform business decisions, making use of the internal data platforms and applying appropriate analytical techniques.
Prepare data and models to represent business information cleanly and accurately, applying industry standards, open standards, and internal standards where appropriate.
Use data platform infrastructure e?ectively to engineer reliable data pipelines for sourcing, processing, distributing, and storing data in di?erent ways. Understand and apply a range of data engineering techniques including data sourcing and modelling to stream processing and ML ops.
Develop, train, and apply machine-learning models to make better predictions, automate manual processes, and solve challenging business problems. Ensure the quality, security, reliability, and compliance of solutions by applying digital principles and implementing both functional and non-functional requirements.
Build observability into solutions, monitor production health, help to resolve incidents, and remediate the root cause of risks and issues. Reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind.
Participate in agile ceremonies, and collaborate with engineers, product managers, designers, and others. Understand, represent, and advocate for client needs.
Deliver frequent releases that improve data products, pipelines, models, and services. Provide meaningful and actionable insights derived by souring, transforming, and processing data.
Can work Hybrid (In-Office/Remote).
Qualified Applicants apply through Please reference 001743. NO CALLS PLEASE. EOE/M/F/D/V. #LI-DNI
Salary & Work Schedule: $155,000 to $186,000 Per Year, 40 hrs/wk. 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.
This notice is being posted in connection with an application for permanent Alien Labor Certification. Any person may comment or provide documentary evidence bearing on this application to: U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.
Your team
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.
You'll be working in the Data Engineer team in Weehawken, NJ.
Your expertise
Education & Experience Requirement
This position requires a Master's degree or foreign equivalent in Computer Systems Management, Engineering (any), or a related field of study and two (2) years of experience in the job offered or as a Computer Systems Engineer, Software Engineer, or a related occupation.
Alternate Education & Experience Requirement
The employer will alternatively accept a Bachelor's degree or foreign equivalent in Computer Systems Management, Engineering (any), or a related field of study and five (5) years of experience in the job offered or as a Computer Systems Engineer, Software Engineer, or a related occupation.
Position requires experience with the following:
Databricks; pySpark; DevOps; Kubernetes; Docker
GitLab; Machine Learning; Airflow; Probability Theory
Regression methods including Linear Regression and Logistics Regression
Statistical significant tests including R Square, T Test, and P Value
Statistical time series analysis including NOVA, Moving Averages, Vector regression analysis, and ARIMA
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.
Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We're dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That's why collaboration is at the heart of everything we do. Because together, we're more than ourselves.
We're committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
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.