Quant jobs / Nomura

Quantitative Analyst – Valuation Control Model Validation

A model-validation role in the risk division, independently reviewing valuation control models and later front-office derivative pricing models. It tests implementations and quantifies model risk.

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 valuation control models for fitness for their intended use
Build tools that test whether production code matches the model theory
Assess calibrated and unobservable parameters and quantify model risk
Write validation documents and agree findings with model owners

What they ask for

Required

Model development or validation experience
Derivative pricing models (LMM, Heston, local volatility)
Stochastic calculus
Derivative products and risk
Excel and VBA
Python
3–6 years of experience

Preferred

VaR or counterparty exposure model experience

Education: Graduate or postgraduate degree in a quantitative or engineering field, or a finance PGDM
Experience: 3–6 years
Languages and tools: Python
VBA
Excel
Markets: multi-asset

How to prepare

Implement Heston and local volatility pricers and calibrate them to an option surface
Study the Libor Market Model and how it differs from short-rate models
Write an independent replication of a pricer to test an implementation
Draft a validation report covering assumptions, limitations and model risk rating

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 Nomura’s site before applying: requirements, location and pay can change after we check them.

View the posting on Nomura’s site ↗

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