Quantitative Strategist, Client Analytics — Global Markets

Goldman Sachs; New York (NY); On-site; USD 150,000 - 225,000; Full time

Job summary

Goldman Sachs in New York, NY is seeking a Quantitative Strategist for Global Banking & Markets, Client Analytics. You will build analytics platforms and models, turning data into actionable insights for Sales, Trading, and clients.

The role blends entrepreneurial data work with high-impact analytics, requiring strong programming and communication skills, and a track record of delivering results in a fast-paced environment.

Qualifications

• BS/MS or PhD in a relevant field such as Applied Mathematics, Data Science, Engineering, Physics, or Finance.
• Minimum of 2 years of professional experience in a quantitative, analytical, or financial technology role.
• Excellent verbal and written communication to interact with clients as SME.
• Strong programming skills in Java, Python, or equivalent language.
• Familiarity with using AI tools to optimize research, automate workflows, or accelerate software development.

Responsibilities

• Build data analytics systems, platforms and models to identify opportunities.
• Collaborate with Sales, Trading, Senior Management and Clients to deliver insights.

Skills

Quantitative analytics

Programming: Java/Python

Data visualization

Client communication

Education

BS/MS/PhD in Math/CS/Finance

Job description

Goldman Sachs in New York, NY is seeking a Quantitative Strategist for Global Banking & Markets, Client Analytics. You will build analytics platforms and models, turning data into actionable insights for Sales, Trading, and clients.

The role blends entrepreneurial data work with high-impact analytics, requiring strong programming and communication skills, and a track record of delivering results in a fast-paced environment.