Overview
On Site
USD 145,000.00 - 172,500.00 per year
Full Time
Skills
Testing
Quantitative Research
Management
Algorithms
Collaboration
Recruiting
Portfolio Management
Jupyter
Python
SQL
Customer Facing
Analytical Skill
Attention To Detail
Accounting
Computer Science
Control Flow Analysis
Databricks
Machine Learning (ML)
Artificial Intelligence
Wealth Management
Corporate Banking
Asset Management
Finance
Job Details
Your role
We're looking for a HOLT Data Products Analyst to:
program and maintain standard and bespoke HOLT data files for incorporation in the investment process of clients
develop standard access and testing code for delivery to clients alongside the HOLT data
conduct quantitative research on HOLT data and alpha signals
develop and maintain the HOLT Management Inventive/Governance machine learning algorithms
collaborate with the HOLT Model Development group on development of the HOLT model and tools infrastructure
collaborate with internal partners across UBS Data Intelligence and UBS as a whole
develop subject matter expertise to represent the HOLT Data Products offering to clients
Detailed salary information:
New York, Chicago: the salary range for this role is $145000 to $172500
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 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.
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 working in the HOLT Data Products Team which works to help HOLT clients incorporate our industry leading HOLT fundamental dataset into their investment process. You will be working alongside the HOLT Model Development Team which is tasked with maintaining and developing the HOLT Model and Data infrastructure.
Your expertise
strong understanding of fundamental factors and portfolio management theory
advanced programming skills in Jupyter Notebooks, Python, SQL
passion for financial markets with an interest in taking on a client-facing role
excellent analytical skills and attention to detail
inquisitive, self-motivated, team-oriented and demonstrate an ability to work in a time sensitive environment
bachelor's degree (or equivalent) in Accounting, Finance, Computer Science, or Engineering
Preferred Skills
CFA Charter holder or progress towards
familiarity with Databricks Platform
experience with Machine Learning / AI
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.
Your Career Comeback
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
Salary information
US Only: The expected salary range for this role is $145000 to $172500 based on factors including, but not limited to, experience, qualifications, education, location and skill level. Please see Your role section for detailed salary information.
We're looking for a HOLT Data Products Analyst to:
program and maintain standard and bespoke HOLT data files for incorporation in the investment process of clients
develop standard access and testing code for delivery to clients alongside the HOLT data
conduct quantitative research on HOLT data and alpha signals
develop and maintain the HOLT Management Inventive/Governance machine learning algorithms
collaborate with the HOLT Model Development group on development of the HOLT model and tools infrastructure
collaborate with internal partners across UBS Data Intelligence and UBS as a whole
develop subject matter expertise to represent the HOLT Data Products offering to clients
Detailed salary information:
New York, Chicago: the salary range for this role is $145000 to $172500
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 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.
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 working in the HOLT Data Products Team which works to help HOLT clients incorporate our industry leading HOLT fundamental dataset into their investment process. You will be working alongside the HOLT Model Development Team which is tasked with maintaining and developing the HOLT Model and Data infrastructure.
Your expertise
strong understanding of fundamental factors and portfolio management theory
advanced programming skills in Jupyter Notebooks, Python, SQL
passion for financial markets with an interest in taking on a client-facing role
excellent analytical skills and attention to detail
inquisitive, self-motivated, team-oriented and demonstrate an ability to work in a time sensitive environment
bachelor's degree (or equivalent) in Accounting, Finance, Computer Science, or Engineering
Preferred Skills
CFA Charter holder or progress towards
familiarity with Databricks Platform
experience with Machine Learning / AI
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.
Your Career Comeback
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
Salary information
US Only: The expected salary range for this role is $145000 to $172500 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.