Role: Quantitative Risk Manager - Stress Testing
Location: The Hague, Netherlands
Our client, a renowned bank, is seeking a Quantitative Risk Manager to join their Modeling & Data Analytics team.
Key Responsibilities:
- Support strategic decision making and perform semi-annual bank-wide stress testing
- Conduct ad-hoc analysis to inform crucial business decisions
- Develop and enhance the Solvency and ESG stress testing framework
- Initiate methodological updates due to regulatory changes and internal model adjustments
- Translate functional requirements into effective Python implementations
- Participate in the internal Methodology Advisory Group, advising on methodological developments
- Engage in discussions with external stakeholders including DNB, Internal Audit, or external auditors
- Regular liaison with Finance, ALM, Treasury, Corporate Development, and various risk and IT teams
- Share knowledge within the team and with other stakeholders
- Engage in bank-wide projects that span multiple domains and require effective communication
Key Requirements:
- Experience with stress testing or advanced financial budgeting & forecasting
- Market or credit risk modelling experience, background in IRB or IFRS 9 modelling preferred
- Proficiency in Python, familiarity with Matlab and SQL preferred
- Strong communication skills in English