Euronext Clearing- Senior Associate, Financial Risk LOD2

Overview

In this Senior Quantitative Risk Analyst role, you’ll provide independent challenge to CCP risk models within the ROC function of the LOD2. You will assess margin, default fund, and risk frameworks across multiple asset classes, ensuring robustness under stressed conditions. The role blends quantitative modelling, governance, and regulatory expectations, with a focus on challenging rather than building models. You’ll work closely with stakeholders to strengthen controls and testing methodologies, contributing to a credible risk framework. This position offers high visibility and impact in EMIR-driven regulatory contexts and CCP risk oversight.

Responsabilità

Independent challenge of Initial Margin, Default Fund and stress testing frameworks across asset classes

Analyse model assumptions and behavior under stressed and non-linear conditions

Identify weaknesses and propose recalibration or redesign

Contribute to reviews of new models, parameter changes, and new business initiatives

Execute and enhance EMIR-mandated tests (Backtesting, Sensitivity Analysis, Reverse Stress Testing)

Analyse results for performance, stability, and procyclicality

Support interpretation and escalation of key findings

Design and perform quantitative controls on margin, default fund, and key risk metrics

Develop anomaly detection approaches and investigate outliers

Contribute to regulatory monitoring and internal reporting

Contribute to tools, dashboards, and automation initiatives

Requisiti fondamentali

Degree in Mathematics, Physics, Engineering, Quantitative Finance or similar

Strong understanding of financial risk concepts

Analytical mindset with ability to question models

Good programming skills (Python preferred) for data analysis and modelling

Ability to work independently on complex problems

Strong analytical thinking

Independent and proactive problem solver

Effective communication with senior stakeholders

Python programming

Model validation and stress testing

Risk metrics (Va

R, Expected Shortfall)