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Quantitative Risk Manager Jobs in Toronto, ON (NOW HIRING)

As a Quantitative Trader, you'll play a key role in managing market risk and supporting algorithmic trading on a fast-paced dealing desk. This is a dynamic position ideal for someone with front ...

In this role you, will: * Assist Senior Manager to execute independent validations of quantitative models (e.g., asset and liability management, liquidity risk, interest rate risk in the banking book ...

The Senior Manager, Fraud Risk will support the Indirect Lending Risk Director, who will jointly ... Bachelor's Degree in quantitative field such as finance, statistics, economics, actuarial sciences ...

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Quantitative Risk Manager information

See Toronto, ON salary details

$30.5K

$125.9K

$209K

How much do quantitative risk manager jobs pay per year?

As of Jun 13, 2026, the average yearly pay for quantitative risk manager in Toronto, ON is $125,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,570.00 and $156,034.00 per year, depending on experience, location, and employer.

Is quantitative risk management in demand?

Quantitative risk management is in high demand across financial services, insurance, and investment firms due to increasing regulatory requirements and the need for sophisticated risk assessment tools. Professionals in this field with skills in data analysis, statistical modeling, and programming are sought after, especially those with certifications like FRM or CFA. The role often involves using software such as Python, R, or MATLAB to develop risk models and monitor financial exposures.

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 salary of quant Risk Manager?

The salary of a Quantitative Risk Manager typically ranges from $100,000 to $200,000 annually, depending on experience, location, and the size of the organization. Senior roles or those in major financial hubs can earn higher compensation, often including bonuses and performance incentives.

How much do quant risk managers make?

Quantitative risk managers typically earn a median salary ranging from $100,000 to $150,000 annually, with experienced professionals in major financial centers earning over $200,000. Compensation often includes bonuses and depends on factors such as experience, education, certifications, and the complexity of the risk models managed.

What is a quantitative Risk Manager?

A quantitative risk manager is a professional who uses mathematical models, statistical analysis, and programming skills to identify, assess, and mitigate financial risks within an organization. They often work with tools like Excel, R, or Python and require strong knowledge of finance, mathematics, and risk management frameworks. Their goal is to help firms make data-driven decisions to minimize potential losses and ensure regulatory compliance.

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 Toronto, ON? For Quantitative Risk Manager jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Quantitative Risk Manager jobs in Toronto, ON look for? The top searched job categories for Quantitative Risk Manager jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Quantitative Risk Manager jobs? Cities near Toronto, ON with the most Quantitative Risk Manager job openings:

Senior Manager, Regulatory and Risk Advisory (Quant)

KPMG

Toronto, ON

Full-time

Posted 24 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference. 

Backed by deep industry knowledge, our team works with organizations to strengthen their governance and operating models, positioning them to effectively achieve their risk management goals. KPMG’s Regulatory and Risk Advisory (RRA) professionals help organizations by addressing complex challenges, creating, and protecting sustainable business value and transforming risk into a strategic advantage.

We are currently seeking a Senior Manager with a quantitative profile, specializing in credit risk modeling to join our Regulatory and Risk Advisory team within our Toronto office, The candidate will offer advisory services in credit risk modeling and validation and will be working on a wide variety of projects with banks, credit unions, insurers, and investment funds.


What you will do

You will work closely with the Partner responsible for the Regulatory and Risk Advisory practice on advisory projects and contribute to business development. The incumbent will:

  • Lead daily work on assignments related to credit modelling and risk management; develop credit models, perform validations, and participate in external/internal audit engagements related to IFRS 9 – ECL, credit modelling, or other quantitative engagements to meet the clients’ expectations.
  • Provide expertise in development or validation of models for a wide area of products such as retail (mortgages, revolving, other retail loans) and non-retail portfolios (corporate, commercial, real estate), for underwriting credit models, credit risk scorecards or risk ratings models.
  • Work on multiple assignments simultaneously, potentially involving several partners.
  • Prepare detailed reports presenting the execution approach, observations, and recommendations.
  • Coordinate the execution of various risk management projects to add value.
  • Review analyses and deliverables produced by the execution team to ensure their high quality.
  • Prepare service proposals to meet the business needs of clients.
  • Deliver presentations to clients, participate in client meetings, as well in business development.

What you bring to the role
  • 10 years of relevant experience in banking including work in credit model development or validation functions.
  • Degree or PhD in math, engineering, statistics, econometrics, actuarial sciences or equivalent.
  • Professional designation is an asset (FRM, CFA).
  • Experience with statistical and probabilistic credit risk modelling for risk rating and scorecard models for credit risk, ECL models for IFRS 9, and/or with stress testing models, and/or model validation experience for these models.
  • Knowledge of the following models: logit/probit, Autoregressive, ARIMA, GARCH, survival models.
  • Proficiency in at least two of the following tools and languages: SAS, Python, R, VBA, SQL, C++, Java.
  • Well versed in model risk management activities.
  • Knowledge of the requirements of the final Basel III and regulatory capital including calculation of regulatory capital and IRB modelling an asset.
  • Proficiency in Bloomberg valuation and pricing models an asset.
  • Motivation to achieve high standards of customer service and professionalism.
  • Ability to deal with difficult and complex situations, great investigation skills and rigor.
  • Ability to adequately manage projects and budgets.
  • Excellent verbal and written communication skills in English; bilingual capability in French an asset.
  • Exceptional time management skills and ability to meet tight deadlines.
  • Strong analytical and problem-solving skills.
  • Initiative, ability to work independently with minimal supervision.
  • Client-oriented to understand issues and propose value-added solutions.
  • Commitment to achieving high standards of customer service and professionalism in project delivery.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $120,000 to $170,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • 10 years of relevant experience in banking including work in credit model development or validation functions.
  • Degree or PhD in math, engineering, statistics, econometrics, actuarial sciences or equivalent.
  • Professional designation is an asset (FRM, CFA).
  • Experience with statistical and probabilistic credit risk modelling for risk rating and scorecard models for credit risk, ECL models for IFRS 9, and/or with stress testing models, and/or model validation experience for these models.
  • Knowledge of the following models: logit/probit, Autoregressive, ARIMA, GARCH, survival models.
  • Proficiency in at least two of the following tools and languages: SAS, Python, R, VBA, SQL, C++, Java.
  • Well versed in model risk management activities.
  • Knowledge of the requirements of the final Basel III and regulatory capital including calculation of regulatory capital and IRB modelling an asset.
  • Proficiency in Bloomberg valuation and pricing models an asset.
  • Motivation to achieve high standards of customer service and professionalism.
  • Ability to deal with difficult and complex situations, great investigation skills and rigor.
  • Ability to adequately manage projects and budgets.
  • Excellent verbal and written communication skills in English; bilingual capability in French an asset.
  • Exceptional time management skills and ability to meet tight deadlines.
  • Strong analytical and problem-solving skills.
  • Initiative, ability to work independently with minimal supervision.
  • Client-oriented to understand issues and propose value-added solutions.
  • Commitment to achieving high standards of customer service and professionalism in project delivery.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $120,000 to $170,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME