Senior Advisor Market Risk Models

3 weeks 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, effectiveness of the MRM framework, and the model business environment 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, effectiveness of the MRM framework, and the model business environment on an ongoing basis. He/she will be working closely with cross-functional teams, including model validators (Paris and NY office), model developers, business stakeholders, IT, auditors with exposure to a variety of models across the business and support functions, including market risk, credit and counterparty risk, compliance, trading algorithms, and investment strategies.

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

  • Conduct independent model review of relevant models that are employed in SG Americas at all stages of their lifecycle by:
    • Assessing model conceptual soundness to ensure the consistency of model design.
    • Working with large, complex datasets to verify data input quality and processing, model output accuracy.
    • Reviewing model ongoing monitoring to ensure that changes in products, exposures, activities, clients, or market conditions trigger adjustment, redevelopment, or replacement of the model.
    • Evaluate model governance aspects such as model change management, ongoing monitoring, and inherent and residual model risk assessment.

Skills and Qualifications:

Must Have:

  • 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, econometrics, and machine learning.
  • Data Management: Experience working with large datasets and quantitative analysis.
  • Communication: Excellent written and verbal communication skills for working with both technical and non-technical staff.
  • Model Risk: Familiarity with model risk management practices and regulatory requirements.
  • Additional Skills: Experience with market risk, counterparty risk, margining, or algorithmics trading models. li>

Languages: French and English

Ability to communicate in English, both orally and in writing, is a requirement as the person in this position will need to collaborate regularly with colleagues and partners in the United States.

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, including the collection of their fingerprints by a third-party vendor selected by the Financial Industry Regulatory Authority (“FINRA”).



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