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$137,656–$189,062.
Based on 240 similar postings.
Employer
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
134 open roles
on FindRole.
Listed pay typically runs
$137,000–$250,000
across 55 roles with salary data.
M&A Quant Advisory – Vice President - Investment Banking joins the M&A Quant Advisory team to solve complex business problems through quantitative models and scalable technology platforms. This role involves collaborating with investment bankers across various industry groups to provide actionable insights, evaluate deal performance, and analyze competitive landscapes. The position requires building and maintaining analytical codebases using Python, Java, SQL, MongoDB, and NoSQL while implementing machine learning and statistical techniques. Responsibilities include designing data pipelines, managing complex financial datasets from multiple vendors, and communicating technical findings to non-technical clients. Candidates must possess strong quantitative modeling skills, software engineering expertise, and a deep understanding of equity and debt products within the capital markets. The role serves as a bridge between technical innovation and core commercial activities to identify transaction opportunities and provide data-driven solutions for mergers and separations.
Develop actionable insights for clients regarding deal performance, competitive landscapes, and execution strategies.
Communicate complex technical 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 manage high-quality datasets from multiple vendors to create robust data pipelines.
Create scalable technology platforms and tools to provide economic leverage for the M&A business.
Act as a local liaison to coordinate with global teams and internal banking groups.
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 analytical reasoning with problem-solving abilities.
Proficiency in object-oriented programming languages like Python or Java.
Experience with data querying languages including SQL, MongoDB, and NoSQL to extract large quantities of data.
Strong oral and written communication skills for interacting with non-technical clients and bankers.
Strong interpersonal skills and a desire to work in a team environment.
Strong interest in finance, investment banking, and capital markets.
5+ years of experience in quantitative modeling and development (preferred); 5+ years of experience in finance, investment banking, or capital markets (preferred).
Python
C++
Machine Learning
Stochastic Calculus
Probability Theory
Numerical Methods
Option Theory
LLM
Data Analysis
Risk Management
Volatility Surface Calibration
Hedging Optimization
Quantitative Research
Python
C++
R
Machine Learning
Time-Series Analysis
Monte Carlo Simulation
Conformal Prediction
Feature Engineering
Model Risk Management
Econometrics
Statistical Learning
Hyperparameter Tuning
Exploratory Data Analysis