Financial Quantitative Risk Management Specialist

5 days ago

Montreal, Quebec, Canada SGS Société Générale de Surveillance SA Full time

The Societe Generale group's sustainable growth is driven by the expertise of its Risk Management Department. This department understands and analyzes risks, applying risk management techniques to achieve the best possible outcome for the bank. They oversee enterprise, strategic, credit, market, liquidity, operational, model, and other risks associated with corporate and investment banking activities.

The Model Risk Management (MRM) team within the Risk Management function in SG CIB oversees model risk management. MRM's responsibilities include second-line defense for model risk and supervising the model risk management function for the SG America regions (US, Canada, and Latin America). This involves overseeing the governance of model risk in SG America and conducting independent reviews of models within their scope.

They design and ensure consistency, integrity, and compliance with regulatory provisions for SG America's model risk management system. Additionally, they manage the model approval process and monitor models' performance and effectiveness of the MRM framework on an ongoing basis.

The Quantitative Advisor will participate in developing and maintaining the continuous model monitoring (CMM) framework to assess models' performance and effectiveness of the MRM framework. In collaboration with Senior Quantitative Advisors and the team Manager, the Quantitative Advisor will:

  • Verify data input quality and processing, model output accuracy, and assess data quality using large datasets.

This role requires a strong foundation in quantitative fields such as Mathematical Finance, Financial Engineering, Statistics, or STEM, with a Bachelor's degree (Master's or PhD preferred). A minimum of 3 years of experience in model development, validation, or front-office quant roles is necessary; fewer years are accepted with a PhD. Strong programming skills in Python, R, C++, or similar languages, along with advanced knowledge of statistics and machine learning, are required.

The Quantitative Advisor must have experience working with large datasets and quantitative analysis. Familiarity with model risk management practices and regulatory requirements is also essential. Proficiency in French and English is necessary due to US Federal Securities law applying to this position.

In accordance with this regulation, candidates will undergo an enhanced background screening. The Societe Generale offers supportive maternity, paternity, parental, and adoption leave policies, as well as health spending and personal spending accounts, and encourages continuous development through various training programs.

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