Quantitative Investment Strategist – CPM

The Goldman Sachs Group

New York (NY)

On-site

USD 150,000 - 230,000

Full time

12 days ago
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Benefits offered by this job

Wellness program
Competitive benefits

Job summary

Goldman Sachs is seeking a quantitative investment professional to join the QIS team within Asset & Wealth Management. The role blends client-facing activity and product strategy, requiring strong programming and quantitative skills to develop and analyze investment strategies.

The successful candidate will collaborate with sales, researchers, and clients to deliver sophisticated analytics and insights, while contributing to research on new quantitative strategies and data visualization.

Qualifications

  • STEM background and ability to apply quantitative techniques to investment problems.
  • Strong programming experience with at least one language (Python, Matlab, Java, C/C++).
  • Excellent verbal, written, and presentation skills; ability to communicate with clients and internal teams.

Responsibilities

  • Serve as product expert on QIS investment products for internal and external clients.
  • Identify client solutions and marketable products.
  • Write code to solve analytical problems and produce market analyses.
  • Collaborate with team to research and develop investment products.
  • Prepare marketing materials (PowerPoint/Excel) with the sales force.
  • Conduct competitive and peer market analyses.

Skills

Quantitative
Programming
Communication
Team-oriented
Finance interest
Problem solving

Education

STEM degree

Tools

Python
Matlab
Java
C/C++

Job description

Goldman Sachs is seeking a quantitative investment professional to join the QIS team within Asset & Wealth Management. The role blends client-facing activity and product strategy, requiring strong programming and quantitative skills to develop and analyze investment strategies.

The successful candidate will collaborate with sales, researchers, and clients to deliver sophisticated analytics and insights, while contributing to research on new quantitative strategies and data visualization.

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