Quantitative Analyst

Jersey Digs; Weehawken (NJ); On-site; USD 140,000 - 180,000; Full time

Job summary

UBS is seeking a senior quant for its ETF and Mutual Fund Strategy and Analytics team within Global Wealth Management Americas in New Jersey. You will develop and calibrate models for portfolio risk measurement and attribution, conduct advanced time-series analyses, and translate research into actionable risk guidance.

Qualified candidates have 7+ years in quantitative analysis, strong communication, and proficiency in R/SQL/PowerBI/Excel.

Qualifications

• Ideally 7+ years of quantitative analysis in asset management or risk management.
• Deep knowledge of time-series, econometrics, and statistical modeling.
• Familiar with risk concepts: risk decomposition, factor exposure, stress testing.
• Experience with Aladdin/Barra/FactSet/Bloomberg PORT is a plus.
• Strong teamwork and cross-functional collaboration.
• Excellent written and verbal communication.
• Proficiency in R, SQL, PowerBI, and Excel.
• Experience applying AI tools for research and model development.
• Ability to manage multiple projects and meet deadlines.
• Bachelor's in quantitative field; master's a plus; CFA/FRM/CAIA valued.

Responsibilities

• 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 research into actionable risk management insights.
• Contribute to development and maintenance of regular and ad hoc risk reports.
• Collaborate with portfolio management teams and technology partners to enhance model transparency and usability.
• Document model methodologies clearly for internal and regulatory use.

Skills

Time-series analysis

Econometrics

Risk management

Aladdin

Barra

FactSet

Bloomberg PORT

SQL

R

PowerBI

Excel

Team collaboration

Education

Bachelor's degree in quantitative field

Master's degree preferred

CFA/FRM/CAIA valued

Tools

Aladdin

Barra

FactSet

Bloomberg PORT

Job description

Key responsibilities

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

The team

You'll be a member of the ETF and Mutual Fund Strategy and Analytics team 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 skills and experience

• ideally over 7 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
• 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
• high level proficiency in several of the following: R, SQL, PowerBI, and Excel
• demonstrated ability to use Artificial Intelligence tools to enhance quantitative research, coding, data analysis, model development, documentation, and workflow efficiency, with sound judgment regarding model limitations, data confidentiality, validation, and responsible use
• exceptional technical and development skills with the ability to work with large datasets
• experience in documenting model methodologies and technical specifications
• advanced understanding of financial markets and investment products across asset classes
• 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
• professional designations such as CFA, FRM, or CAIA are highly valued
• series 7 and 66 licensed or ability to acquire within 90 days post start date

Salary information

The indicative gross base salary range as a full-time equivalent role

• United States - New Jersey - Weehawken min USD 140000 - max USD 180000 /annum

The expected salary for this role will be determined by relevant factors which may include but are not limited to, role-required experience, qualifications, education, location and skill level. UBS offers a range of competitive benefits and for further information, please visit ubs.com/employee-benefits. We may, at our sole discretion, provide additional variable compensation or awards.

About us

UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That's why we place collaboration at the heart of everything we do. Because together, we're more than ourselves. Want to find out more? Visit ubs.com/careers.