Quantitative Risk Management Specialist
1 month ago
The Risk Management Department at SGS Société Générale de Surveillance SA plays a vital role in the sustainable growth of the company by providing expertise in risk analysis and management techniques. The department’s mission is to analyze, assess, manage, and monitor risk-taking activities to achieve the best possible outcome for the bank. The Model Risk Management (MRM) team, embedded within the Risk Management function in SG CIB, oversees model risk management for the SG America regions (US, Canada, and Latin America).
The Quantitative Advisor will collaborate with the Team Manager to develop and maintain the continuous model monitoring (CMM) framework, assessing models’ performance and ensuring adherence to regulatory requirements. Key responsibilities include metrics design and implementation, documentation, analysis of metrics results and breach management, data quality, model risk identification and assessment, and collaboration with front-office staff, model developers, model validators, IT services, and risk managers.
Requirements:
Must Have:
- Education: Bachelor's degree (Master's preferred) in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, Engineering, or Mathematics.
- Experience: Minimum 2 years in model development, validation, or a front-office quant role.
- Technical Proficiency: Strong analytical skills and programming skills in Python and SQL.
- Data Management: Experience working with large datasets and quantitative analysis.
- Model Risk: Familiarity with model risk management practices and US regulatory requirements (SR-1107) is a plus.
Languages: French and English. The ability to communicate in English, both orally and in writing, is a requirement.
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