Quant jobs / Goldman Sachs

Model Risk Analyst / Associate

A model validation role in the independent group that reviews and approves the firm's quantitative models. The models range from derivatives valuation to risk and electronic trading.

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.

Review the conceptual soundness and implementation of a model
Build alternative benchmark models to measure model risk
Track how approved models perform over time
Write up findings and present limits and uncertainties to stakeholders

What they ask for

Required

Quantitative problem solving
Stochastic modelling
Numerical simulation
Data analysis
Degree in maths, physics, engineering, computer science or financial engineering
Clear communication

Preferred

Machine learning

Education: Degree in a quantitative field such as maths, physics, engineering, computer science or financial engineering
Experience: Not stated; analyst and associate levels
Markets: multi-asset

How to prepare

Re-implement a Black-Scholes and a local volatility pricer independently and compare
Practise Monte Carlo with convergence and variance checks
Read the regulatory idea of model risk and a typical validation report structure
Learn to explain a model's weaknesses in plain language

What to study

The Model Validation Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

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.