Financial Risk Analyst — Modeling & Automation (Hybrid)

KBC Bank & Verzekering; Vlaanderen; Hybride; EUR 90 000 - 110 000; Plein temps

Avantages offerts par ce poste

Flexible working hours

Hybrid/remote work option

International team and onboarding

Résumé du poste

KBC Bank & Verzekering is seeking a Financial Risk Manager to bolster risk management across investment products. You will translate quantitative results into actionable insights, validate models, and support product development with risk input in a collaborative international setting.

You will work with teams in Brussels, Dublin, and Prague, leveraging Python and modern analytics to monitor exposure, VaR, and stress testing throughout product lifecycles.

Qualifications

• Minimum 2 years of relevant experience in risk management, asset management or quantitative analysis.
• Master's degree or PhD in a quantitative field is required.
• Strong interest in financial markets and ability to understand complex risk topics.
• Proficiency in Python and willingness to use technology to optimise analyses.

Responsabilités

• Translate quantitative analyses into clear financial insights and actionable recommendations.
• Calculate and analyse risk metrics like VaR, Global Exposure, Greeks and stress tests.
• Perform model validations to ensure reliability of models.
• Support development and launch of investment products with risk advice.
• Work with large datasets using modern analytical tools to identify risks.

Connaissances

Risk management

Asset management

Financial markets

Quantitative analysis

Python

Communication

English proficiency

Formation

Master's degree or PhD in Economics/Engineering/Math/CS

Outils

Python

Description du poste

KBC Bank & Verzekering is seeking a Financial Risk Manager to bolster risk management across investment products. You will translate quantitative results into actionable insights, validate models, and support product development with risk input in a collaborative international setting.

You will work with teams in Brussels, Dublin, and Prague, leveraging Python and modern analytics to monitor exposure, VaR, and stress testing throughout product lifecycles.