Senior Advisor Market Risk Models

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:

  1. The design of the SG America’s model risk management system, as well as its consistency, integrity, and compliance with regulatory provisions.
  2. Managing the model approval process within its scope.
  3. Monitoring of the models’ performance and effectiveness of the MRM framework.

The Quantitative Advisor will participate in the development and maintenance of the continuous model monitoring (CMM) framework. b>

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

  1. Conduct independent model review of relevant models by:
  • Assessing model conceptual soundness.

    Skills and Qualifications:

    Must Have:

    1. Education: Bachelor's degree (Master's or PhD preferred) in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, or STEM.
    2. Experience: Minimum 3 years in model development, validation, or a front-office quant role; fewer years accepted with a PhD.
    3. Technical Proficiency: Strong programming skills in Python, R, C++, or similar.
    4. Data Management: Experience working with large datasets.
    5. Model Risk: Familiarity with model risk management practices and regulatory requirements.
    6. Additional Skills: Experience with market risk or counterparty risk models.

    Languages: French and English. Ability to communicate in English is a requirement.

    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.
  • Fully sponsored virtual healthcare assistance.


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