Quantitative Risk Modeler and Advisor
7 hours ago
At SGS Société Générale de Surveillance SA, we are seeking a highly skilled Quantitative Risk Modeler and Advisor to join our team in the United States. This role will be based in an office location in the US, with opportunities for remote work.
About the JobThe Risk Management Department contributes significantly to the sustainable growth of the Societe Generale group through its expertise, understanding of risks, and risk management techniques. Our department's mission is to independently analyze, assess, manage and monitor risk-taking activities with the objective of achieving the best possible outcome for the bank.
We oversee the enterprise, strategic, credit, market, liquidity, operational, model, and other risks of our corporate and investment banking business activities.
This role will be part of our Model Risk Management (MRM) team, which oversees model risk management. MRM is responsible for the second line of defense for model risk and supervises the model risk management function for the SG America regions (US, Canada, and Latin America).
In this respect, MRM notably oversees the SG America's governance for model risk and conducts the independent review of the models in its scope.
The successful candidate will contribute to:
- Designing and overseeing the SG America's model risk management system, ensuring consistency, integrity, and compliance with regulatory provisions.
- Managing the model approval process within its scope.
- Monitoring of the models' performance, effectiveness of the MRM framework, and the model business environment on an ongoing basis.
The Quantitative Risk Modeler and Advisor will collaborate with Senior Quantitative Advisors and the team Manager to conduct independent model reviews of relevant models that are employed in SG Americas at all stages of their lifecycle.
RequirementsTo succeed in this role, you will need:
- Bachelor's degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, or STEM. A Master's or PhD degree is preferred.
- Minimum 3 years of experience in model development, validation, or a front-office quant role; fewer years accepted with a PhD.
- Strong programming skills in Python, R, C++, or similar, with advanced knowledge of statistics, econometrics, and machine learning.
- Experience working with large datasets and quantitative analysis.
- Excellent written and verbal communication skills for working with both technical and non-technical staff.
- Familiarity with model risk management practices and regulatory requirements.
We offer a comprehensive benefits package, including:
- A minimum of 20 vacation days + 4 personal days.
- Supportive maternity, paternity, parental and adoption leave policy.
- Health spending and personal spending accounts.
- Fully sponsored virtual healthcare assistance.
- Various Employee Resource Groups (ERG) to engage with.
The estimated salary range for this position is $120,000 - $180,000 per year, depending on experience and qualifications.
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