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Quantitative Risk Manager Jobs in Quebec (NOW HIRING)

The Senior Analyst, Model Risk Management is a member of the Group Model Risk Management team ... Proficiency in quantitative modeling of interest rates, inflation, foreign exchange rates, equities ...

You will work at the intersection of finance and technology, translating sophisticated quantitative models into robust, production-quality code that directly supports trading and risk management ...

You will work at the intersection of finance and technology, translating sophisticated quantitative models into robust, production-quality code that directly supports trading and risk management ...

Experience in quantitative finance, investment technology, trading, risk, or portfolio management environments is an asset. * CFA, CQF, FRM, or other quantitative or financial designation is ...

Reporting to the Senior Manager, Risk Integration, this role sits at the intersection of quantitative finance and software engineering. You will be a driving force behind our Core Risk Libraries and ...

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Quantitative Risk Manager information

See Quebec salary details

$32K

$131.9K

$219K

How much do quantitative risk manager jobs pay per year?

As of Sep 13, 2026, the average yearly pay for quantitative risk manager in Quebec is $131,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $163,500.00 per year, depending on experience, location, and employer.

What is a quantitative risk manager?

A Quantitative Risk Manager is a professional who uses mathematical models, statistical analysis, and quantitative techniques to identify, measure, and manage financial risks within an organization. They often work in banks, investment firms, or insurance companies to analyze market, credit, and operational risks. Their responsibilities include developing risk models, monitoring risk exposures, and advising senior management on risk mitigation strategies. They play a key role in ensuring that organizations make informed decisions and comply with regulatory requirements.

How does a quantitative risk manager typically collaborate with other departments within a financial institution?

Quantitative Risk Managers work closely with teams such as trading, compliance, IT, and senior management to identify, measure, and mitigate financial risks. They often translate complex quantitative models into actionable insights for non-technical stakeholders and facilitate the integration of risk metrics into daily decision-making processes. Collaboration is essential for ensuring that risk assessments align with business objectives and regulatory requirements, often requiring regular cross-functional meetings and clear communication.

What are the key skills and qualifications needed to thrive as a quantitative risk manager, and why are they important?

To thrive as a Quantitative Risk Manager, you need strong analytical abilities, a deep understanding of statistics and financial mathematics, and typically an advanced degree in finance, mathematics, or a related field. Proficiency in programming languages like Python or R, experience with risk modeling software, and certifications such as FRM or CFA are highly valuable. Exceptional problem-solving, communication, and collaboration skills help you convey complex risk metrics to stakeholders and work effectively in cross-functional teams. These skills ensure accurate risk assessments, regulatory compliance, and informed decision-making in dynamic financial environments.

What is the difference between Quantitative Risk Manager vs Quantitative Analyst?

AspectQuantitative Risk ManagerQuantitative Analyst
Primary FocusAssessing and managing risk exposure across financial portfoliosDeveloping models and algorithms for investment strategies
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; certifications like FRM or CFADegrees in finance, mathematics, or statistics; often pursuing CFA or similar
Work EnvironmentFinancial institutions, risk management departmentsInvestment firms, hedge funds, banks
Key SkillsRisk assessment, regulatory knowledge, quantitative modelingData analysis, programming, financial modeling

While both roles involve quantitative skills and financial knowledge, Quantitative Risk Managers focus on identifying and mitigating risks within organizations, whereas Quantitative Analysts primarily develop models to inform investment decisions. Understanding these differences helps professionals choose the right career path or job search focus.

What are popular job titles related to Quantitative Risk Manager jobs in Quebec?

For Quantitative Risk Manager jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk Manager jobs in Quebec look for?

The top searched job categories for Quantitative Risk Manager jobs in Quebec are:

What cities in Quebec are hiring for Quantitative Risk Manager jobs?

Cities in Quebec with the most Quantitative Risk Manager job openings:

Infographic showing various Quantitative Risk Manager job openings in Quebec as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $131,920 per year, or $63.4 per hour.

Model Validation Quantitative Advisor

Montreal, QC

Full-time

Re-posted 14 days ago


Key responsibilities

  • Perform independent validation of local and global models, including assessing conceptual soundness, implementation accuracy, and usage appropriateness.

  • Review and verify ongoing model performance monitoring, risk mitigation measures, and compliance with regulatory standards such as SR 26-2.

  • Prepare validation reports, support validation planning, oversee validation reviews, and communicate findings to relevant stakeholders.


Job description

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, compliance, model, and other risks of the corporate and investment banking business activities.

ABOUT THE JOB:

The 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 Americas regions (US, Canada, and Latin America).

In details, MRM's main tasks are:

       The design of the SG Americas model risk management system, as well as its consistency, integrity, and compliance with regulatory provisions.

       The independent review of internal models within its scope. The independent review is carried out in accordance with the fundamental principles of the MRM system by extending the due diligence procedures to cover all model aspects required by the regulations (conceptual soundness, implementation, usage, ongoing monitoring of the model carried out by the first line of defense) and in accordance with the scope defined in the context of the oversight.

       Managing the model approval process within its scope.

       Monitoring of the models' performance, effectiveness of the MRM framework, and the model business environment on ongoing basis, and risk management of the model portfolio, ensuring adherence to regulatory requirements.

As a Quantitative Advisor, the job of model validation involves independently assessing and verifying the accuracy, robustness, and regulatory compliance of models. This involves ensuring that models are conceptually sound, accurately implemented, and compliant with regulatory expectations, including those outlined in supervisory guidance such as the Federal Reserve's SR 26-2. Key responsibilities include collaborating with risk owners and first-line teams, performing rigorous model testing and documentation, supporting ongoing monitoring, and preparing for regulatory reviews. Effective communication with senior management and validation committees is important to convey model risks and validation outcomes.

This role requires a strong background in quantitative risk management, with specific expertise in Credit  risk modeling. Candidates should have experience in validating financial models, including model design, implementation, and performance testing. Knowledge of regulatory frameworks and supervisory guidance, such as SR 26-2 on model risk management, is essential to ensure compliance and robust validation practices.

What will be your DAY-TO-DAY?

Under the supervision of the Head of Credit model validation, your primary role, as part of the second Line of Defense on Model Risk Management team, is to review the first Line of Defense modeling proposals. This includes, but not limited to, the following:

       Perform direct validation of local models developed and used within SG Americas and global models devel:

o   Conceptual Soundness: Evaluate soundness of model choices and assess the quality of model design and development. Challenge model assumptions, inherent limitations, and the potential impact of those limitations and issues on its outputs.

o   Model Use: Review and confirm that the identified usages align with the intended purpose, which includes adhering to established protocols for its application.

o   Model Implementation: Perform independent tests on the model (statistical tests, coherence tests, benchmarking, etc) to verify accurate implementation and confirm that the model operates consistently with its design as intended use. Review sensitivity analysis and tests performed, review controls and procedures in place.

o   Ongoing Monitoring and Outcome Analysis: Assess the mechanisms for ongoing model performance monitoring, issue identification, and risk management to ensure effective oversight, policy compliance. Ensure that the model remains reliable, relevant, and compliant throughout its lifecycle, this includes review risk mitigation measures, compensating controls, and risk acceptances.

o   Write validation reports comprising tests performed, validation conclusions and findings addressed to the first line of defense.

       In addition to performing direct validations of local models, review and assess the validations performed by 2LoD at the Group level in compliance with SR 26-2 standards.

       Assist the Head of Validation in reviewing validation plans, overseeing reviews, conducting exit meetings, and preparing committee materials.

This role involves close collaboration with the Group model validation team. It also requires interaction with various functions within the first line of defense as well as with the third line of defense (Audit). These interactions support the preparation for model validation in accordance with regulatory standards, as well as the ongoing review and monitoring of Models.

SKILLS AND QUALIFICATIONS:

Key skills include proficiency in finance, mathematics, statistical and econometric methods, programming languages (e.g., Python, R, SAS), and familiarity with relevant risk management systems and tools.

Strong analytical abilities and attention to detail are critical for identifying model weaknesses and assessing model assumptions. The right candidate must also have strong communication and stakeholder-management skills to interact effectively with model developers, model owners, and other MRM team members, audit, regulators, as well as senior validation committees.

A solid understanding of banking products and financial markets enhances the ability to contextualize model risks. Prior experience in a validation function or risk management role within a financial institution is highly valuable.

Required: 
    Strong analysis skills.
    Strong ability in statistics and data analysis programs (Python, R, VBA and etc). 
    Strong reasoning and communication skills. 
    Understanding banking and market products, risk methodologies, practices and procedures.
    Minimum of 5 years of working experience in finance industry is preferable.
    Valuable experience in the model validation or model development field.

Education
    MS in Finance/Engineering or similar field preferred. 

LANGUAGE: 

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 that may apply to this position, candidates who will apply for this position may 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").