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, effectiveness of the MRM framework, and the model business environment on an ongoing basis, ensuring adherence to regulatory requirements.

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 developers, 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 by conducting quantitative analyses, statistical tests, and developing challenger models for benchmarking.
  • Data Quality: Verify the quality and consistency of data inputs, transformations, and outputs, using advanced statistical techniques.
  • Model Replication: Review and replicate model architecture to ensure computational accuracy and correct implementation.
  • Output Analysis: Perform backtesting, benchmarking, and sensitivity analysis to evaluate model performance and accuracy.
  • Ongoing Monitoring: Regularly assess model performance, recommending adjustments or redevelopment based on changes in market conditions, products, or clients.
  • Model Governance: Evaluate governance aspects, including change management and ongoing monitoring, and assess overall model risk.
  • Collaboration: Work closely with front-office staff, model developers, and risk managers to review models and address remediation efforts.

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 credit risk or compliance risk models. li>

Languages: French and English

HYBRID WORK ENVIRONMENT:
Societe Generale offers a hybrid work arrangement that offers employees the flexibility to work remotely, as well as on-site, in order to promote interaction and collaboration with colleagues while adhering to all SG standard protocols.



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