VP, M&A Quant Advisory — Banking Tech & Data

Goldman Sachs; New York (NY); On-site; USD 250,000 - 350,000; Full time

Job summary

Goldman Sachs seeks a Vice President for the M&A Quant Advisory team in New York. The role blends investment banking with quantitative engineering to develop analytics and scalable technology platforms supporting mergers, acquisitions, and industry coverage.

You will work with bankers to solve data-driven problems using large datasets and modern modeling techniques. The role requires strong quantitative skills, effective communication with non-technical clients, and the ability to lead

Qualifications

• Bachelor’s or advanced degree in a quantitative/ STEM discipline (e.g., Mathematics, Computer Science, Engineering, Statistics).
• Strong quantitative reasoning and problem-solving abilities.
• Strong programming skills in Python or Java.

Responsibilities

• Develop and deliver actionable insights for internal and external clients, including deal performance evaluation and competitive landscape analysis.
• Communicate analyses and recommendations clearly to Investment Banking clients; tailor content for non-technical audiences.
• Design and implement advanced quantitative methodologies to identify and prioritize new transaction opportunities.
• Build and maintain analytical codebases in Python and other languages; apply ML and statistical techniques.

Skills

Python

SQL

Quantitative modeling

Data analysis

Machine learning

Communication

Education

Bachelor's degree or higher in quantitative field

Tools

Python

Java

MongoDB

NoSQL

Job description

Goldman Sachs seeks a Vice President for the M&A Quant Advisory team in New York. The role blends investment banking with quantitative engineering to develop analytics and scalable technology platforms supporting mergers, acquisitions, and industry coverage.

You will work with bankers to solve data-driven problems using large datasets and modern modeling techniques. The role requires strong quantitative skills, effective communication with non-technical clients, and the ability to lead