Senior Advisor, Modelling

2 months ago


Montreal, Canada SGS Société Générale de Surveillance SA Full time
p>ABOUT THE JOB:

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.

In detail, MRM’s main tasks are:

  • 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.

The Quantitative Advisor will execute independent review of business models under both US and Canada regulations working closely with cross functional teams, including business stakeholders, model developer, model validators (Paris and NY office), IT, auditors. Presentation of validation analysis to senior management is in the scope of this role. He/she will be exposed to a variety of models used by the business and support functions, including models for credit risk and financial crime compliance.

In collaboration with Senior Quantitative Advisors and the team Manager, the Quantitative Advisor will:

  • Model Review: Independently assess model design and conceptual soundness.
  • Data Quality: Verify the quality and consistency of data inputs.
  • Ongoing Monitoring: Regularly assess model performance.
  • Collaboration: Work closely with front-office staff.

Skills and Qualifications:

  • Must Have:
  • Education: Bachelor's degree (Master's or PhD preferred) in a quantitative field.
  • Experience: Minimum 3 years in model development, validation, or a front-office quant role.
  • Technical Proficiency: Strong programming skills in Python, R, C++, or similar.
  • Data Management: Experience working with large datasets.
  • Model Risk: Familiarity with model risk management practices.
  • Languages: French and English.

Due to US Federal Securities law applying to this position, candidates who will apply for this position will be required to submit to an enhanced background screening.Supportive Maternity, paternity, parental and adoption leave policy.Health spending ($2,000/year) and personal spending ($1,000/year) accounts.Continuous development through various training programs.

HYBRID WORK ENVIRONMENT:
Societe Generale offers a hybrid work arrangement that offers employees the flexibility to work remotely, as well as on-site.



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

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

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