Quantitative Expert
1 month ago
Societe Generale de Surveillance SA is seeking a highly skilled Quantitative Advisor to join its Risk Management Department.
About the JobThe Risk Management Department plays a vital role in the sustainable growth of the Societe Generale group, leveraging expertise and risk management techniques to analyze, assess, manage, and monitor risk-taking activities. The department's mission is to achieve the best possible outcome for the bank by overseeing enterprise, strategic, credit, market, liquidity, operational, model, and other risks associated with corporate and investment banking business activities.
The Model Risk Management (MRM) team, embedded within the Risk Management function in SG CIB, 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 capacity, MRM oversees the governance for model risk in SG America and conducts independent reviews of models within its scope.
The Quantitative Advisor will participate in the development and maintenance of the continuous model monitoring (CMM) framework to assess models' performance, effectiveness of the MRM framework, and the model business environment on an ongoing basis. Key responsibilities include:
- Designing and implementing metrics to monitor model performance within their model scope.
- Analyzing metric results and managing breaches in collaboration with the first line of defense and validation teams on model risk evolution.
- Maintaining data quality and consistency across different systems used by MRM.
- Collaborating with front-office staff, model developers, model validators, IT services, and risk managers.
This role offers a unique opportunity to contribute to the success of SGS Société Générale de Surveillance SA and advance your career in model risk management.
Requirements and QualificationsTo be considered for this position, you must possess:
- A Bachelor's degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, Engineering, or Mathematics (Master's preferred).
- At least 2 years of experience in model development, validation, or a front-office quant role.
- Strong analytical skills and proficiency in programming languages such as Python and SQL.
- Experience working with large datasets and quantitative analysis.
- Familiarity with model risk management practices and US regulatory requirements is a plus.
The estimated annual salary for this position is $120,000, based on industry standards and regional factors. Additionally, the company offers a comprehensive benefits package, including health insurance, retirement plans, and paid time off.
Language RequirementsCandidates must be fluent in English, both orally and in writing, and have excellent communication skills.
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