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Quantitative Risk Manager Jobs in Montreal, QC (NOW HIRING)

Contribute to risk management infrastructure Collaboration & Platform Development * Work with ... Strong quantitative modeling and analytics * Programming (Python / OO languages) * Knowledge of ...

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 ...

Showing results 21-40

Quantitative Risk Manager information

See Montreal, QC salary details

$31.9K

$131.5K

$218.4K

How much do quantitative risk manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for quantitative risk manager in Montreal, QC is $131,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,727.00 and $163,039.00 per year, depending on experience, location, and employer.

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 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 Montreal, QC? For Quantitative Risk Manager jobs in Montreal, QC, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Manager jobs in Montreal, QC look for? The top searched job categories for Quantitative Risk Manager jobs in Montreal, QC are:
Infographic showing various Quantitative Risk Manager job openings in Montreal, QC as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 53% In-person, 38% Hybrid, and 9% Remote job distribution, with an average salary of $131,549 per year, or $63.2 per hour.

Quantitative Advisor

Societe Generale

Montreal, QC โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Description
We are seeking a Quantitative Analyst (VP level) to join the R&D/SGI platform in Montreal, supporting the AMER region. The role focuses on production oversight, quantitative development, and strengthening the SGI framework, while contributing to the expansion of the Montreal hub.
Main Responsibilities:
SGI Production & Operations

  • Support daily index production (calculation, rebalancing, reporting)
  • Ensure robustness and accuracy of SGI workflows
  • Contribute to incident analysis and resolution
  • Improve SGI ecosystem, controls, and operational tools
  • Develop quantitative metrics and monitoring frameworks
  • Contribute to risk management infrastructure


Collaboration & Platform Development

  • Work with trading, engineering and sales teams
  • Enhance data integration and system efficiency
  • Contribute to SGI product development and innovation


Governance & Documentation

  • Ensure strong documentation of models and processes
  • Support MRM-related requirements (controls, monitoring)
    ย 

Profile Required
Technical Skills:

  • Strong quantitative modeling and analytics
  • Programming (Python / OO languages)
  • Knowledge of systematic strategies is a plus


    ย 

Experience:

  • ย 5 years of experience in quantitative roles or similar roles

Education:

  • Master's degree in finance, Mathematics, or Engineering

LANGUAGE:ย 

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.ย 

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").