Quant jobs / Goldman Sachs

M&A Quant Advisory – Vice President

A quant role inside the Investment Banking M&A franchise, building models and data tools that help bankers pitch and execute deals. It mixes data engineering, machine learning and client communication with bankers.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Analyse deal performance and the competitive landscape for bankers and clients
Build quantitative methods to spot new transaction opportunities
Maintain Python analytics code with statistical and machine learning techniques
Build datasets and pipelines from multiple vendors for specific business uses
Explain results to non-technical bankers

What they ask for

Required

Python or Java
SQL and NoSQL data querying
Quantitative modelling
Statistics and machine learning
Data pipeline design
Communication with non-technical clients
Interest in M&A and capital markets

Preferred

5+ years of quantitative modelling and development
5+ years in finance or investment banking

Education: Bachelor's or advanced degree in a quantitative or STEM subject
Experience: VP level; 5+ years of modelling and finance experience preferred
Languages and tools: Python
Java
SQL
MongoDB
Markets: equities

How to prepare

Build a dataset of historical M&A deals and analyse premiums and sector trends
Practise explaining a statistical result to a non-technical audience in a one-page note
Learn M&A basics: valuation multiples, deal structures and accretion/dilution
Build a small data pipeline joining several vendor-style sources in SQL and Python

What to study

Apply

Read the full posting on Goldman Sachs’s site before applying: requirements, location and pay can change after we check them.

View the posting on Goldman Sachs’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Goldman Sachs and doesn’t handle applications.