Senior Advisor Market Risk Models

2 months ago

Montreal, Canada SGS Société Générale de Surveillance SA Full time
p>The Risk Management Department contributes to the sustainable growth of the Societe Generale group through its expertise, understanding of risks, and risk management techniques. The department’s mission is to independently analyze, assess, manage and monitor risk-taking activities with the objective of achieving, together with the first line-of-defense, the best possible outcome for the bank. The department oversees the enterprise, strategic, credit, market, liquidity, operational, model, and other risks of the corporate and investment banking business activities.Model Risk Management (MRM) team embedded within the Risk Management function in SG CIB 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 design of the SG America’s model risk management system, as well as its consistency, integrity, and compliance with regulatory provisions.Managing the model approval process within its scope.Monitoring of the models’ performance and effectiveness of the MRM framework on an ongoing basis.The Quantitative Advisor will participate in the development and maintenance of the continuous model monitoring (CMM) framework to assess the models’ performance and effectiveness of the MRM framework. p>In collaboration with Senior Quantitative Advisors and the team Manager, the Quantitative Advisor will: Work with large datasets to verify data input quality and processing, model output accuracy, and assess data quality.Education: Bachelor's degree (Master's or PhD preferred) in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, or STEM.Experience: Minimum 3 years in model development, validation, or a front-office quant role; fewer years accepted with a PhD.Technical Proficiency: Strong programming skills in Python, R, C++, or similar, with advanced knowledge of statistics and machine learning.Data Management: Experience working with large datasets and quantitative analysis.Model Risk: Familiarity with model risk management practices and regulatory requirements.Languages: French and English

Due to US Federal Securities law applying to this position, candidates will be required to submit to an enhanced background screening.Supportive maternity, paternity, parental and adoption leave policy Health spending and personal spending accounts Continuous development by encouraging various training programs

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