Quantitative Advisor
4 weeks ago
The Risk Management Department at Societe Generale de Surveillance SA contributes to the sustainable growth of the company 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 the best possible outcome for the company.
Job DescriptionThe 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, IT, auditors. Presentation of validation analysis to senior management is in the scope of this role.
Key Responsibilities- 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 to address complex datasets.
- 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.
- Communication and Reporting: Draft detailed validation reports and communicate findings to stakeholders, including management and business partners.
- Collaboration: Work closely with front-office staff, model developers, and risk managers to review models and address remediation efforts.
- 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.
- Minimum of 20 Vacation days + 4 personal days
- Supportive Maternity, paternity, parental and adoption leave policy
- Health spending ($2,000/year) and personal spending ($1,000/year) accounts with 75+ eligible reimbursement categories (health, training, electronics etc.)
- Fully sponsored virtual healthcare assistance and Employee Assistance Program to you and your immediate family
- Various Employee Resource Groups (ERG) to engage with such as Pride and Allies, American Women Network, Black Leadership Network, One planet, etc.
- A culture of continuous development by encouraging our employees various training programs (online training and coaching platform such as Coursera, GoFluent, Pluralsight, First Finance, and others)
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Quantitative Advisor
4 weeks ago
Montreal, Quebec, Canada SGS Société Générale de Surveillance SA Full timeJob Title: Quantitative AdvisorSociete Generale is seeking a highly skilled Quantitative Advisor to join its Risk Management Department. The successful candidate will be responsible for conducting independent model reviews, analyzing model output, and evaluating model governance aspects.Key Responsibilities:Conduct independent model reviews of relevant...
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Quantitative Advisor
4 weeks ago
Montreal, Quebec, Canada SGS Société Générale de Surveillance SA Full timeJob Title: Quantitative AdvisorSociete Generale is seeking a highly skilled Quantitative Advisor to join its Risk Management Department. The successful candidate will be responsible for conducting independent model reviews, analyzing model output, and evaluating model governance aspects.Key Responsibilities:Conduct independent model reviews of relevant...
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Quantitative Advisor
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Montreal, Quebec, Canada SGS Société Générale de Surveillance SA Full timeAbout the RoleWe are seeking a highly skilled Quantitative Advisor to join our Risk Management Department. As a key member of our team, you will be responsible for developing and maintaining the continuous model monitoring (CMM) framework to assess the performance of our models, ensuring adherence to regulatory requirements.Key ResponsibilitiesDesign and...
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