Senior Financial Risk Consultant — Remote & AI-Driven

EY; Amsterdam; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work environment

Annual bonus

Mobility budget

OpenUp wellbeing

Training & development

Job summary

EY Amsterdam is seeking a Senior Consultant in Financial Risk Management to apply quantitative techniques across credit and market risk, ESG, and AI-driven solutions. You will develop, validate and implement models, and contribute to risk governance and regulatory compliance.

Hybrid work arrangement with strong client interaction and business development opportunities. The role requires 3+ years in financial services, a Master’s in a quantitative field, and programming in Python/R/SQL.

Qualifications

• At least 3 years of experience in Financial Services or advisory capacity.
• Master's degree in a quantitative field.
• Experience with data analytics, AI/ML techniques within financial services.
• Experience in Credit Risk, Market Risk, ESG, AI/ML modeling.
• Hands-on development, validation, or implementation of risk/price/AI models.
• Programming in Python, R, VBA, Java, C++, SQL, Matlab or .NET.

Responsibilities

• Apply quantitative techniques in financial risk management for financial institutions.
• Develop and validate financial risk models; support modelling transformations.
• Drive business development and contribute to EY market solutions.
• Build client relationships and contribute to risk governance and regulatory compliance.

Skills

Python

R

SQL

C++

Java

Matlab

VBA

AI/ML

Data analytics

ESG

CFA (optional)

Education

Master's degree (Quantitative)

Econometrics, Mathematics, Statistics, Data Science, CS, Engineering, Physics

Tools

Python

R

SQL

VBA

Java

C++

Matlab

.NET

Job description

EY Amsterdam is seeking a Senior Consultant in Financial Risk Management to apply quantitative techniques across credit and market risk, ESG, and AI-driven solutions. You will develop, validate and implement models, and contribute to risk governance and regulatory compliance.

Hybrid work arrangement with strong client interaction and business development opportunities. The role requires 3+ years in financial services, a Master’s in a quantitative field, and programming in Python/R/SQL.