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Quantitative Risk Manager Jobs in Quebec (NOW HIRING)

As pioneers in the industry, we have established ourselves as trailblazers in pension risk ... Support investment manager searches and ongoing monitoring through qualitative and quantitative ...

... the risk of challenges from revenue authorities. You will join a team of knowledgeable and ... Understanding of quantitative methods and ability to interpret results in a qualitative manner

... related quantitative discipline. Graduate degree is considered an asset. 5+ years of relevant ... Familiarity with model validation, model risk management, governance, or audit processes.

DEPARTMENT DESCRIPTION Within the Credit Portfolio Management Group ("CPM"), the Credit Analyst ... Ability to analyze and evaluate counterparty risk and financial condition utilizing quantitative ...

Showing results 41-60

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 14, 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.

Analyst - Trading & Commercial Analytics

Montreal, QC • On-site

Full-time

Re-posted 4 days ago


Key responsibilities

  • Support traders through market analysis, data extraction, backcasts, and research projects

  • Develop tools and dashboards that improve trading decisions and portfolio monitoring

  • Build and maintain analytical tools, automation workflows, and internal applications


Job description

CWP Energy Solutions operates at the intersection of energy trading, financial optimization, and market intelligence.
We help renewable energy producers, battery storage operators, data centers, large energy consumers, and other market participants navigate volatile electricity markets through trading strategies, analytics, and risk management solutions.
As we continue to grow, we are looking for a technically strong and commercially minded analyst to support our trading desk, client-facing initiatives, and the development of scalable analytics and automation tools.
This role sits at the intersection of trading, analytics, technology, and business strategy.
You will work closely with traders, commercial teams, and senior leadership to transform data into actionable insights, automate workflows, and develop tools that improve decision-making across the business.
We are looking for someone who enjoys solving complex problems, building scalable solutions, and translating technical analysis into business value.
What You'll Do
Trading & Market Analytics
  • Support traders through market analysis, data extraction, backcasts, and research projects
  • Analyze power market data to identify risks, opportunities, and performance drivers
  • Develop tools and dashboards that improve trading decisions and portfolio monitoring
  • Evaluate market opportunities across renewable energy, battery storage, data centers, and large energy consumers
Data, Automation & AI
  • Build and maintain analytical tools, automation workflows, and internal applications
  • Use Python, SQL, BigQuery, APIs, VBA, and AI tools to improve efficiency and decision-making
  • Automate recurring reports, analyses, and operational processes
  • Identify practical applications for AI and machine learning across trading, analytics, and business operations
Commercial & Strategic Support
  • Support client assessments, financial analyses, and growth initiatives
  • Translate technical findings into clear business recommendations
  • Help standardize and scale analytical processes across the organization
  • Contribute to strategic projects supporting the company's continued growth
What We're Looking For
  • Bachelor's degree in a quantitative field such as Finance, Engineering, Mathematics, Economics, Statistics, or Computer Science (Master's is an asset).
  • 3–7 years of experience in analytics, trading, finance, consulting, technology, or a similarly quantitative environment.
  • Strong technical skills including Python, SQL (BigQuery or similar), Excel/VBA, APIs, automation, and large-scale data analysis.
  • Strong understanding of financial analysis, risk/reward dynamics, and performance measurement.
  • Strong business acumen with the ability to communicate insights and influence decision-making.
  • Experience leveraging AI, automation, or machine learning tools to improve workflows and analytics.
  • Experience with energy markets, trading, commodities, or commercial analytics is an asset.
Why Join Us
  • An entrepreneurial results-driven corporate culture. Curious to know more ? McGill St Laurent
  • Direct exposure to power markets, trading strategies, and high-growth energy customers
  • Full group insurance and the opportunity to contribute to an RRSP program.
  • A vacation policy upon arrival.
  • A public transit incentive program.
  • A Give & Match program
  • A beautiful office with a gym, a lounge, locker rooms and showers.

This position requires in-office presence. We have found that being physically present fosters interactions that positively impact performance. As such, we strongly encourage employees to maintain this presence to fully benefit from the environment.
We collect your information through a secure applicant tracking system with access restricted by role. Data, including resumes and interview notes, are stored within this system. If you wish to withdraw consent or have concerns, please contact us at talent@mcgillstlaurent.com.

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CWP Energy Solutions évolue à l’intersection du trading d’énergie, de l’optimisation financière et de l’intelligence de marché.
Nous accompagnons les producteurs d’énergie renouvelable, les opérateurs de stockage par batteries, les centres de données, les grands consommateurs d’énergie et d’autres acteurs du marché dans la gestion de la volatilité des marchés de l’électricité grâce à des stratégies de trading, des analyses de marché et des solutions de gestion des risques.
Dans le cadre de notre croissance, nous sommes à la recherche d’un(e) analyste à la fois technique et orienté(e) affaires pour soutenir notre équipe de trading, nos initiatives commerciales et le développement d’outils analytiques et d’automatisation évolutifs.
Ce rôle se situe à l’intersection du trading, de l’analytique, de la technologie et de la stratégie d’affaires. Tu travailleras en étroite collaboration avec les traders, les équipes commerciales et la haute direction afin de transformer les données en recommandations concrètes, automatiser des processus et développer des outils qui améliorent la prise de décision à travers l’organisation.
Nous recherchons une personne qui aime résoudre des problèmes complexes, bâtir des solutions évolutives et transformer l’analyse technique en valeur d’affaires.
Ce que tu feras
Trading et analyse de marché
  • Soutenir les traders à travers des analyses de marché, des extractions de données, des backcasts et divers projets de recherche.
  • Analyser les données des marchés de l’électricité afin d’identifier les risques, les opportunités et les facteurs de performance.
  • Développer des outils et tableaux de bord permettant d’améliorer la prise de décision et le suivi des portefeuilles.
  • Évaluer les opportunités de marché liées aux énergies renouvelables, au stockage par batteries, aux centres de données et aux grands consommateurs d’énergie.
Données, automatisation et intelligence artificielle
  • Développer et maintenir des outils analytiques, des flux d’automatisation et des applications internes.
  • Utiliser Python, SQL, BigQuery, les API, VBA et des outils d’intelligence artificielle afin d’améliorer l’efficacité et la prise de décision.
  • Automatiser des rapports, analyses et processus opérationnels récurrents.
  • Identifier des applications concrètes de l’intelligence artificielle et de l’apprentissage automatique au sein des activités de trading, d’analyse et des opérations.
Soutien commercial et stratégique
  • Contribuer aux évaluations financières, analyses clients et initiatives de croissance.
  • Transformer les analyses techniques en recommandations claires et actionnables.
  • Participer à la standardisation et à l’optimisation des processus analytiques de l’entreprise.
  • Contribuer à des projets stratégiques soutenant la croissance continue de l’organisation.
Ce que nous recherchons
  • Baccalauréat dans un domaine quantitatif tel que la finance, l’ingénierie, les mathématiques, l’économie, les statistiques ou l’informatique (une maîtrise constitue un atout).
  • De 3 à 7 ans d’expérience dans un rôle analytique au sein des secteurs de la finance, du trading, de l’énergie, de la consultation, de la technologie ou d’un environnement similaire.
  • Solides compétences techniques en Python, SQL (BigQuery ou équivalent), Excel/VBA, API, automatisation et analyse de données.
  • Bonne compréhension de l’analyse financière, de la gestion du risque, du rendement et des indicateurs de performance.
  • Fort sens des affaires et capacité à communiquer des analyses complexes afin d’influencer la prise de décision.
  • Expérience avec les outils d’intelligence artificielle, l’automatisation ou les applications d’apprentissage automatique.
  • Une expérience dans les marchés de l’énergie, le trading, les commodités ou l’analytique commerciale constitue un atout.
Pourquoi te joindre à nous
  • Une culture entrepreneuriale axée sur les résultats. Curieux d’en savoir plus? Découvre McGill St Laurent.
  • Une exposition directe aux marchés de l’électricité, aux stratégies de trading et à une clientèle en forte croissance.
  • Une assurance collective complète et la possibilité de contribuer à un programme de REER.
  • Une politique de vacances dès ton arrivée.
  • Un programme d’incitatif au transport collectif.
  • Un programme Give & Match
  • Un magnifique bureau avec gym, lounge, vestiaires et douches.
Ce poste exige une présence au bureau. Nous avons constaté que cette présence encourage les interactions qui ont un impact positif sur nos performances. Par conséquent, nous encourageons les employés à maintenir cette présence pour en bénéficier.
Nous recueillons vos informations via un système de suivi des candidats sécurisé, où l'accès est restreint selon le poste. Les données, incluant CVs et notes d'entretiens, sont conservées dans ce système. Pour tout désaccord ou retrait de consentement, contactez-nous à talent@mcgillstlaurent.com.

 

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