- Professional
- Oficina en Weehawken
Your role
Are you passionate about applying quantitative methods to real-world investment challenges? Do you thrive in a collaborative environment where your technical skills and analytical thinking can drive innovation in portfolio risk management?
We’re looking for someone who can:
• Develop, calibrate, and implement statistical and econometric models to support portfolio risk measurement and attribution
• Conduct advanced time-series analysis and apply econometric techniques to assess investment strategies
• Translate academic and industry research into actionable insights and risk management strategies
• Contribute to the development and maintenance of regular and ad hoc risk reports
• Collaborate with portfolio management teams, technology partners, and other stakeholders to enhance model transparency and usability
• Document model methodologies in a clear, structured, and technically sound manner for internal and regulatory use
Detailed salary information:
• Weehawken: the salary range for this role is $85000 to $120000
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.
We’re looking for someone who can:
• Develop, calibrate, and implement statistical and econometric models to support portfolio risk measurement and attribution
• Conduct advanced time-series analysis and apply econometric techniques to assess investment strategies
• Translate academic and industry research into actionable insights and risk management strategies
• Contribute to the development and maintenance of regular and ad hoc risk reports
• Collaborate with portfolio management teams, technology partners, and other stakeholders to enhance model transparency and usability
• Document model methodologies in a clear, structured, and technically sound manner for internal and regulatory use
Detailed salary information:
• Weehawken: the salary range for this role is $85000 to $120000
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.
City
Weehawken
Job Type
Full Time
Country / State
United States - New Jersey
Function Category
Research
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. 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.
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 a member of the Investment Manager Analysis group within UBS’s Global Wealth Management Americas division. UBS aims to become an AI-enabled institution. Our team is responsible for building and maintaining quantitative models that support investment decision-making and oversight of investment strategies offered through our wealth management platform. We work closely with portfolio management teams, technology partners, and other stakeholders to deliver scalable, data-driven solutions that enhance client outcomes. Quants at UBS are empowered to innovate and bring creative approaches to complex problems, all while operating in a collaborative and inclusive environment.
Your expertise
• ideally 3+ years of experience in quantitative analysis, preferably in asset management, risk management, or financial modeling
• Deep understanding of time-series analysis, econometrics, and statistical modeling techniques
• Familiarity with risk management concepts such as risk decomposition, factor exposure, and stress testing
• Exposure to industry-standard risk platforms such as Aladdin, Barra, FactSet, or Bloomberg PORT is a plus
Soft Skills
• Strong team player with the ability to collaborate across functions and geographies
• Excellent written and verbal communication skills, with a focus on clarity and precision
• Ability to manage multiple projects and meet deadlines in a dynamic environment
• Intellectual curiosity and a desire to continuously learn and grow
Hard Skills
• Proficiency in one or more of the following: R, SQL, PowerBI
• Strong technical and development skills with the ability to work with large datasets
• Experience in documenting model methodologies and technical specifications
• Solid understanding of financial markets and investment products across asset classes
Education
• Bachelor’s degree in a quantitative field such as Engineering, Economics, Mathematics, Applied Statistics, Finance, or other highly empirical disciplines
• Master’s degree or higher is a plus
• Progress toward or completion of professional designations such as CFA, FRM, or CAIA is highly valued
• Series 7 and 66 licensed or ability to acquire within 60 days post start date
• Deep understanding of time-series analysis, econometrics, and statistical modeling techniques
• Familiarity with risk management concepts such as risk decomposition, factor exposure, and stress testing
• Exposure to industry-standard risk platforms such as Aladdin, Barra, FactSet, or Bloomberg PORT is a plus
Soft Skills
• Strong team player with the ability to collaborate across functions and geographies
• Excellent written and verbal communication skills, with a focus on clarity and precision
• Ability to manage multiple projects and meet deadlines in a dynamic environment
• Intellectual curiosity and a desire to continuously learn and grow
Hard Skills
• Proficiency in one or more of the following: R, SQL, PowerBI
• Strong technical and development skills with the ability to work with large datasets
• Experience in documenting model methodologies and technical specifications
• Solid understanding of financial markets and investment products across asset classes
Education
• Bachelor’s degree in a quantitative field such as Engineering, Economics, Mathematics, Applied Statistics, Finance, or other highly empirical disciplines
• Master’s degree or higher is a plus
• Progress toward or completion of professional designations such as CFA, FRM, or CAIA is highly valued
• Series 7 and 66 licensed or ability to acquire within 60 days post start date
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.
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 $85000 to $120000 based on factors including, but not limited to, experience, qualifications, education, location and skill level. Please see «Your role» section for detailed salary information.
