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Quantitative Risk Jobs in Toronto, ON (NOW HIRING)

Support preparation of inputs for Qualitative and Quantitative Risk Assessments * Coordinate with Estimating Lead and Scheduling Manager to align probability and impact values with validated basis of ...

Conducting project and program-level schedule risk workshops/reviews and Quantitative Schedule Risk Assessments (QSRA). * Conducting project and program-level cost risk workshops/reviews and ...

The AVP, Model Validation Quantitative Analyst within the Quantitative Risk Control (QRC) supports best-practice model risk activities consistent with the MUFG Model Governance Program. The models ...

... quantitative analysis tools including @RISK, Safran Risk, and Power BI, with the ability to interpret and communicate outputs such as distribution S-curve graphs, sensitivity tornado charts, and deep ...

Proven expertise in quantitative risk analysis, including Monte Carlo simulation and schedule and cost risk modelling * Experience planning and facilitating hazard studies such as HAZAN and HAZOP to ...

Integrate quantitative and qualitative risk analysis into project forecasts. * Lead RM3 activities, including audit preparation and coordination. * Act as key contact for audits, inspections, and ...

Developing and undertaking Quantitative Risk Analysis, including Cost, Schedule and integrated Cost and Schedule analysis * Facilitation of risk workshops in the client's environment * Analyze ...

Market Risk Analyst (4181)

Toronto, ON · On-site

CA$69K - CA$98K/yr

Knowledge of quantitative risk assessment techniques. * Ability to interpret and analyze complex financial data. * Strong decision-making skills. * Experience in preparing risk reports for senior ...

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Quantitative Risk information

What is a quantitative risk analyst?

A Quantitative Risk Analyst is a finance professional who uses mathematical models and statistical techniques to assess and manage financial risks for organizations, particularly in banking, investment, and insurance sectors. They analyze data, develop risk models, and help companies make informed decisions to minimize potential losses. Their work involves programming, data analysis, and communicating complex risk scenarios to stakeholders. Quantitative Risk Analysts play a crucial role in ensuring that organizations remain financially stable and compliant with regulatory requirements.

What are the key skills and qualifications needed to thrive as a quantitative risk analyst, and why are they important?

To thrive as a Quantitative Risk Analyst, you need strong analytical skills, expertise in statistics and mathematics, and a relevant degree such as finance, mathematics, or engineering. Familiarity with statistical software (such as R, Python, or SAS), risk modeling tools, and industry certifications like FRM or CFA is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting strategic decisions, and ensuring the financial stability of organizations.

How do quantitative risk professionals typically collaborate with other departments within a financial institution?

Quantitative Risk professionals frequently work with various teams such as trading, portfolio management, compliance, and IT. This collaboration helps ensure that risk models accurately reflect real-world exposures and regulatory standards. Effective communication is key, as Quantitative Risk staff must translate complex data and models into actionable insights for non-technical stakeholders. Regular cross-departmental meetings and project-based collaborations are common, promoting a dynamic and integrated work environment.

What is the difference between Quantitative Risk vs Quantitative Analyst?

AspectQuantitative RiskQuantitative Analyst
Primary FocusAssessing and managing financial risks using quantitative methodsDeveloping models and strategies to analyze financial data and inform investment decisions
Required CredentialsOften requires risk management certifications (FRM, PRM), advanced degrees in finance, mathematics, or statisticsTypically requires degrees in finance, economics, mathematics, or related fields; certifications like CFA may be common
Work EnvironmentFinancial institutions, risk management departments, banksInvestment firms, hedge funds, banks, financial services companies

Quantitative Risk professionals focus on identifying and mitigating financial risks through specialized models, while Quantitative Analysts develop analytical models to support trading, investment, and financial decision-making. Both roles require strong quantitative skills and often similar educational backgrounds, but their core objectives differ: risk management versus financial analysis and strategy development.

How hard is it to become a quantitative risk?

Becoming a quantitative risk professional typically requires a strong background in mathematics, statistics, or finance, often supported by a relevant degree such as a master's or Ph.D. in a quantitative field. Developing skills in programming languages like Python or R and understanding financial models are also important, and obtaining certifications such as FRM or CFA can enhance job prospects. The role demands analytical ability, attention to detail, and the capacity to work with complex data sets, making it a challenging but attainable career path for those with the right skills and education.

How much do quantitative risk analysts make?

Quantitative risk analysts typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Senior analysts or those in high-demand financial centers can earn over $150,000, often supplemented by bonuses and benefits. Strong skills in statistics, programming, and risk modeling tools are essential for higher compensation.

What are the most commonly searched types of Quantitative Risk jobs in Toronto, ON?

The most popular types of Quantitative Risk jobs in Toronto, ON are:

What are popular job titles related to Quantitative Risk jobs in Toronto, ON?

For Quantitative Risk jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Quantitative Risk jobs in Toronto, ON look for?

The top searched job categories for Quantitative Risk jobs in Toronto, ON are:

Infographic showing various Quantitative Risk job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 7% Hybrid, and 8% Remote job distribution.

Quantitative Risk Director

Toronto, ON • On-site

Royal Bank of Canada
Banking and Credit Intermediation • 10K+ employees

Full-time

Re-posted 16 days ago


Job description

Job Description

What is the Opportunity?

As part of the Group Risk Management team, the Director, Risk Models - Global Risk Analytics leads a team which is responsible for the conceptual design, development, and ongoing maintenance of the mathematical models used in regulatory stress testing and capital adequacy assessments from a trading and market risk perspective.

This includes ensuring that the model's underlying methodologies are appropriate and that they are implemented with integrity, to facilitate the effective management of the bank's capital adequacy assessment under stress scenarios.

What will you do?

  • Work with model users to understand their business requirements.
  • Conduct research, review regulatory requirements and consult with industry stakeholders to evaluate best practices for modeling.
  • Make recommendations on model methodologies, and develop technical implementation, either for production usage or to serve as a prototype for benchmark testing.
  • Provide business requirements with technical implementation details and user acceptance criteria to technology teams for production deployment, and validate implementation using independently developed benchmark models.
  • Document model methodologies, implementation details and testing results, and work with internal validation to facilitate their approval of the models.
  • Develop tools to assess and monitor model performance, including assumptions and limitations, on an ongoing basis for reporting to the various model monitoring governance committees.
  • Investigate and remediate modeling issues identified through regular re-reviews, ongoing monitoring or by internal validation.
  • Re-assessment and testing of models, including assumptions and limitations and benchmarking against alternative models, and documentation of the results in models whitepapers and annual assessments for review by internal validation.

What do you need to succeed?

Must Have:

  • Broad knowledge of traded products across various asset classes.
  • Strong analytical and problem solving skills.
  • Excellent programming skills (e.g., Python).
  • Strong data management and analysis skills (e.g. SQL and Excel).
  • Ability to work collaboratively to achieve team goals.
  • Agility to adapt to changing circumstances in a dynamic environment.
  • Experience managing a team.
  • Strong English communication skills, both written and verbal, especially in the explanation of complex modeling concepts to senior management and regulators.

Nice-to-Have:

  • Masters in Financial Engineering, or a degree in another quantitative subject such as physics, statistics, mathematics or mathematical finance and/or a relevant professional qualification, with concentration in quantitative methods and/or finance.
  • Understanding of regulatory requirements and industry best practices for CCAR stress testing.

What's in it for you?

We thrive on the challenge to be our best, thinking progressively to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in an agile, collaborative, progressive, and high-performing team

  • The opportunity to interface with executives from many different parts of the organization

Job Skills

Business Analytics, Effectiveness Measurement, Financial Derivatives, Investment Banking Analysis, Long Term Planning, Market Analysis, Market Risk, Results-Oriented, Risk Management

Additional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-02-05

Application Deadline:

2026-09-12

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME