Quantitative Investment Strategies Analyst (CPM)

Socket.dev; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Goldman Sachs is seeking a candidate to join the Quantitative Investment Strategies team within Asset & Wealth Management. The role blends client-facing strategy with hands-on programming to develop quantitative investment ideas and data-driven analytics.

The successful candidate will leverage a STEM background, strong programming skills, and excellent communication to deliver insights, build investment products, and support client engagements in a fast-paced, collaborative environment.

Qualifications

• STEM background with strong quantitative skills.
• Programming experience in Python, Matlab, Java or C/C++.
• Excellent verbal and written communication.
• Interest in financial markets and good investment sense.
• Ability to work in a fast-paced, cross-functional environment.

Responsibilities

• Serve as a product expert on QIS investment products for internal and external clients.
• Identify client solutions and market opportunities.
• Write code to solve analytical problems and generate client analyses.
• Collaborate with team to research and develop investment products.
• Prepare marketing materials (PowerPoint/Excel) and conduct market research.

Skills

STEM background

Programming (Python/Matlab/Java/C/C++)

Communication skills

Team-oriented

Interest in financial markets

Problem solving

Attention to detail

Quantitative techniques

Organization & deadlines

Idea-to-execution

Work under pressure

Curiosity & creativity

Tools

Python

Matlab

Java

C/C++

Job description

Goldman Sachs is seeking a candidate to join the Quantitative Investment Strategies team within Asset & Wealth Management. The role blends client-facing strategy with hands-on programming to develop quantitative investment ideas and data-driven analytics.

The successful candidate will leverage a STEM background, strong programming skills, and excellent communication to deliver insights, build investment products, and support client engagements in a fast-paced, collaborative environment.