Vice President, M&A Quant Advisory, Investment Banking

Goldman Sachs

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Work type
On-site
Location
New York, NY
Posted
121 days ago
Freshness
Confirmed live today

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Similar $167k
$119k $211k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $142,300–$192,600.

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About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 71 open roles on FindRole.

Listed pay typically runs $140,000–$250,000 across 34 roles with salary data.

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At a glance

TL;DR · Vice President, M&A Quant Advisory, Investment Banking

The M&A Quant Advisory – Vice President - Investment Banking joins the M&A Quant Advisory team to solve complex business, data, and technology problems. This role involves working with Investment Bankers across various industry and product groups to develop quantitative models and scalable technology platforms. Key responsibilities include designing advanced analytical methodologies to identify transaction opportunities, building analytical codebases, and maintaining high-quality datasets from multiple vendors. The position requires developing actionable insights for deal performance evaluation and competitive landscape analysis. Candidates must utilize Python, Java, SQL, MongoDB, and NoSQL to manage data pipelines and database schemas. The role demands strong quantitative modeling, machine learning, and statistical analysis skills to support mergers and separations while communicating technical recommendations clearly to non-technical clients and internal banking teams.

What you'll do

  • Develop and deliver actionable insights for deal performance evaluation and competitive landscape analysis.
  • Communicate complex quantitative analyses and recommendations to non-technical investment banking clients.
  • Design and implement advanced quantitative methodologies to identify and prioritize new transaction opportunities.
  • Build and maintain analytical codebases using Python, machine learning, and statistical techniques.
  • Source and maintain high-quality datasets by designing robust data pipelines and database schemas.
  • Deliver curated datasets aligned to specific business use cases for internal and external clients.
  • Manage the delivery and adoption of key analytical products and technical innovations.

What we're looking for

  • Bachelor’s or advanced degree in a quantitative/STEM discipline such as Mathematics, Computer Science, Engineering, or Statistics.
  • Strong quantitative and analytic reasoning with problem-solving abilities.
  • Strong technical and computer programming skills in an object-oriented language such as Python or Java.
  • Strong data management skills in querying languages including SQL, MongoDB, and NoSQL.
  • Strong oral and written communication skills with the ability to communicate with non-technical clients.
  • Strong interpersonal skills and a desire to work on a team.
  • Strong interest in finance, investment banking, and the capital markets.
  • 5+ years of quantitative modeling and development experience (preferred).
  • 5+ years of working experience in finance, investment banking, and/or capital markets (preferred).

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