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Quantitative Risk Manager Jobs in Quebec (NOW HIRING)

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Quantitative Risk Manager information

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$32K

$131.9K

$219K

How much do quantitative risk manager jobs pay per year?

As of Jul 15, 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 can I do with a quantitative risk management degree?

A degree in quantitative risk management prepares individuals for roles such as risk analyst, risk manager, or quantitative analyst in finance, insurance, or consulting firms. These roles involve assessing and modeling financial risks using statistical tools, programming languages like Python or R, and risk management frameworks. Professionals in this field often work with regulatory compliance and may pursue certifications like FRM or PRM.

What is the salary of a quant risk manager?

A quantitative risk manager's salary typically ranges from $100,000 to $200,000 annually, with higher compensation often associated with experience, advanced degrees, and certifications such as FRM or CFA. In addition to base salary, bonuses and performance incentives can significantly increase total compensation in this role.

What does a quantitative risk manager do?

A quantitative risk manager analyzes financial data and models to identify, measure, and manage risks within an organization. They use statistical techniques, programming skills, and risk management tools to develop strategies that minimize potential losses and ensure regulatory compliance.

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.

How much do quant risk managers make?

Quantitative risk managers typically earn between $100,000 and $200,000 annually, with senior roles and those in major financial centers earning higher salaries. Compensation often includes bonuses and benefits, and strong skills in mathematics, programming, and risk modeling are essential for higher-paying positions.

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.

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:

Senior Director AI Model Validation

National Bank

Montreal, QC • Hybrid

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

A career as a senior director AI ML Models Validation in the Model Risk Management team at National Bank means acting as a leader of independent AI and machine learning model validation. This role allows you to have a concrete impact on the organization by strengthening the reliability, governance, and sustainability of models that influence and often drive business decisions, customer outcomes, and risk management through your expertise in advanced analytics, model risk, and strategic leadership.

Your role

  • Define and oversee the enterprise strategy, operating model, and validation plan for AI and machine learning models based on risk, materiality, and model inventory coverage
  • Lead, develop, and coach a team of model validators by setting clear expectations, supporting skills development, and ensuring consistent quality standards
  • Provide independent validation and effective challenge of AI and machine learning models before and after production use, including conceptual soundness, assumptions, data suitability, and fitness for purpose
  • Oversee the design and execution of validation testing, including benchmarking, replication, sensitivity and robustness analyses, performance monitoring, and outcome testing
  • Assess model risks related to modern AI and machine learning techniques, including stability, drift, generalization, operational resilience, explainability, and bias where applicable
  • Drive issue management and remediation by defining severity, agreeing on corrective actions, monitoring progress to closure, and confirming effectiveness through independent re-testing
  • Spearhead and champion the development of AI validation tools across the Model Validation Group.
Your team


Within the Model Risk Management department, you are part of a multidisciplinary team and report to the managing director responsible for the function. Your team stands out for its rigorous approach, its independence of thought, and its ability to influence stakeholders across data science, technology, risk, and business teams. A hybrid work environment and a flexible, adaptable schedule are offered to support your quality of life.

The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through action, allow you to master your role and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring support are available to you at all times.

Prerequisites

  • Hold at least a bachelor’s degree and at least six to ten years of experience in model risk, model validation, or related fields, including significant experience with AI/ML models.
  • Demonstrated experience leading and managing teams within model validation, quantitative risk, data science governance, or an independent challenge function
  • Strong expertise in statistics, machine learning, and validation methodologies, including testing design, performance evaluation, and lifecycle controls
  • Proficiency with analytics and data environments, including Python or R and SQL, with the ability to review code, pipelines, and model outputs
  • In-depth knowledge of model risk management frameworks, including documentation standards, change management, auditability, issue tracking, and ongoing monitoring

Your benefits

In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:


* Health and wellness program, including many options

* Flexible group insurance

* Generous pension plan

* Employee Share Ownership Plan

* Employee and family assistance program

* Preferential banking services

* Involvement in community initiatives

* Telemedicine service

* Virtual sleep clinic


We have an offer that keeps up with trends as well as your needs and those of your family.


Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.


Making a bold move in a people-first environment

We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.


We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?


Join us!