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Senior Quantitative Advisor, Risk Modeling
1 month ago
Societe Generale de Surveillance SA is seeking a highly skilled Senior Quantitative Advisor to join our Risk Management Department. In this role, you will be responsible for overseeing model risk management and ensuring the accuracy of business models used by our organization.
Key Responsibilities- Design and implement model risk management systems to ensure consistency and integrity with regulatory provisions
- Manage the model approval process and monitor model performance, effectiveness of the MRM framework, and the model business environment on an ongoing basis
We are looking for candidates with a strong background in quantitative finance, including experience in model development, validation, or front-office quant roles. The ideal candidate will have advanced knowledge of statistics, econometrics, and machine learning, as well as strong programming skills in Python, R, C++, or similar languages.
Skills and Qualifications- Bachelor's degree (Master's or PhD preferred) in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, or STEM
- Minimum 3 years in model development, validation, or a front-office quant role; fewer years accepted with a PhD
- Strong technical proficiency, including data management and communication skills
- Familiarity with model risk management practices and regulatory requirements
The estimated annual salary for this position is around $120,000, depending on qualifications and experience. Our benefits package includes a minimum of 20 vacation days, supportive maternity, paternity, parental, and adoption leave policy, health spending, and personal spending accounts, and a culture of continuous development through various training programs.
Our CultureSociete Generale de Surveillance SA values diversity, equity, and inclusion, and is committed to creating a workplace that is welcoming and inclusive for all employees. We offer a hybrid work arrangement that offers employees the flexibility to work remotely, as well as on-site, in order to promote interaction and collaboration with colleagues while adhering to all SG standard protocols.
