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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 Analyst, Risk Analytics

PSP Investments

Montreal, QC • On-site

Full-time

Retirement, PTO

Re-posted 23 days ago


Job description

ABOUT US

We're one of Canada's largest pension investors, with CAD$299.7 billion of net assets as of March 31, 2025.


We invest funds for thepension plans of thefederalpublicservice, the Canadian Forces, theRoyal Canadian Mounted Police andthe ReserveForce. Headquartered in Ottawa, PSP Investments has its principal business office in Montreal and offices in New York, London and Hong Kong.

Capturing and leading complex global investments requires us to work as one to seize valuable opportunities, in close collaboration with some of the world's top companies. At PSP Investments, you'll join a team of motivated and engaged professionals, dedicated to propelling our organization further than ever before.

ABOUT YOUR TEAM

The Risk Analytics team is responsible for producing advanced analytics and providing quantitative insight to support valuation, pricing, and risk assessment activities across Public Markets portfolios.

Risk Analytics plays a critical role in ensuring fair market valuation of financial instruments, developing and maintaining analytical tools and methodologies, and supporting disciplined monitoring of portfolio risk exposures. The team partners closely with Asset class stakeholders, Risk, and Technology teams to deliver analytics that support decision making, regulatory compliance, model governance, and the integrity of valuation and risk outputs across the Total Fund.

ABOUT YOUR ROLE

As a Senior Analyst, Risk Analytics, you will be a hands-on contributor within this team, combining strong operational execution with a growing financial engineering mindset. Your work will span the full analytics lifecycle: helping develop and internalize sound risk analytics, running and enhancing quantitative pipelines, and ensuring efficient and optimized quantitative processes that produce reliable outputs across asset classes.

You will work closely with senior team members, Risk stakeholders, and Technology partners to maintain data quality throughout the analytics chain, support the improvement of risk methodologies and deliver reporting outputs that support Total Fund decision-making. While daily production rigor is central to the role, you will also be expected to contribute a financial engineering perspective - translating analytical requirements into implementable solutions, assessing the inputs and assumptions that drive risk measures, and supporting the evolution of the team's quantitative frameworks. The role demands operational discipline, strong technical execution in SQL and Python, and the ability to work reliably within evolving data environments.

Key responsibilities:

  • Run and monitor daily risk analytics production processes - ensuring risk exposures, sensitivities, stress metrics, and decompositions are produced accurately and delivered on time

  • Contribute to the development and internalization of risk analytics, help translate analytical requirements into clear specifications, validation criteria, and implementable solutions that Risk Analytics delivery teams and technology partners can act on

  • Support the review and refinement of risk methodologies and measures, including clarity on key inputs, assumptions, and analytical dependencies - ensuring outputs are consistent and explainable

  • Investigate and resolve production issues: diagnose data breaks, pipeline failures, and anomalous outputs; apply fixes and escalate when needed

  • Validate daily data inputs and outputs across the analytics chain; flag and remediate data quality issues before they reach downstream consumers

  • Maintain and update risk reports and dashboards (Power BI or equivalent) to reflect current portfolio positions and methodological parameters

  • Execute data quality controls (accuracy, completeness, consistency, timeliness) as part of the daily production cycle

  • Implement incremental enhancements to existing analytics pipelines in SQL and Python - improving reliability, performance, or coverage in alignment with the team's target architecture.

  • Document production processes, methodological decisions, known issues, and remediation steps to support operational continuity and audit readiness

  • Participate in requirements discussions with Risk, Performance, CIO stakeholders and technology partners to ensure production outputs meet their needs

WHAT YOU'LL NEED

Mandatory requirements:

  • Master's degree in Financial Engineering, Quantitative Finance, Finance, or a closely related field

  • At least 2-5 years of experience in capital markets, asset management, or a closely related analytical role

  • Solid understanding of financial markets, risk measures (exposures, sensitivities, stress testing, decompositions), and the data inputs that drive them

  • Experience operating in a daily production environment - comfortable with production monitoring, troubleshooting, and time-sensitive delivery

  • Demonstrated ability to translate analytical or financial engineering concepts into practical, testable solutions

  • Strong attention to detail and a rigorous approach to data validation, documentation, and issue resolution

Technical skills:

  • Advanced SQL, with experience writing and maintaining production queries in Snowflake or similar analytical databases

  • Programming experience in Python for data validation, pipeline maintenance, and analytical workflows

  • Experience with relational databases and working with large-scale datasets in a production context

  • Familiarity with BI tools (Power BI) for building and maintaining dashboards and reports

  • Experience with data quality monitoring - defining checks, tracking issues, and supporting remediation workflows considered an asset

  • Exposure to AI-assisted development tools and platforms (e.g., Databricks) considered an asset

  • Professional designations (FRM, PRM, CFA, CQF) considered an asset

  • Bilingualism in English and French *Frequent interactions in English with PSP employees based in our Hong Kong, London and New York offices, and interactions in French with employees in our local Montreal and Ottawa offices

We offer a tailored employee experience and competitive total rewards and benefits package* designed to attract and retain global diverse talent, reward performance, and reinforce business strategies and priorities. Beyond salary and incentive pay eligibility, you have access to:

  • Investment in career development

  • Comprehensive group insurance plans

  • Competitive pension plans

  • Unlimited access to virtual healthcare services and wellness programs

  • Gender-inclusive paid family leave policy: up to 26 weeks for primary caregivers, 5 weeks for secondary caregivers

  • A personalized family-building support, from pre-pregnancy to menopause, with available financial assistance

  • Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off

  • A hybrid work model with a mix of in-office and remote days

*Benefits package may vary based on your employee type.


At PSP Investments, we aim to provide a workplace where everyone feels valued, safe, respected and empowered to grow. As part of this leadership commitment, we strongly encourage applications from all qualified applicants and strive to offer an inclusive and accessible candidate experience. If you require any accommodation for any part of the recruitment process, please let us know.

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