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Quantitative Risk Jobs in Toronto, ON (NOW HIRING)

Manager

Toronto, ON ยท On-site

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 ...

Senior Consultant, Model Validation

Toronto, ON ยท Hybrid

CA$96K - CA$125K/yr

A minimum of 8+ years of experience in model validation, model risk management, or quantitative risk analytics within financial services * Demonstrated experience validating models across areas such ...

Develop and implement pricing and risk models for derivative products. * Translate quantitative models (e.g., Black-Scholes) into production-quality Python code. * Build libraries and tools for ...

Risk Analyst

Toronto, ON

CA$95K - CA$105K/yr

Perform quantitative cost and schedule risk analysis using Risk Management software (e.g. Oracle Primavera Risk Analysis, Acumen Risk, etc.) and provide the interpretation of results (e.g.

Develop and implement pricing and risk models for derivative products. * Translate quantitative models (e.g., Black-Scholes) into production-quality Python code. * Build libraries and tools for ...

Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans. * Monitors risk in strategies and portfolios alongside project managers or ...

Risk Associate

Toronto, ON ยท On-site

CA$85K - CA$105K/yr

Oversee and review the production of quantitative portfolio risk reports (market/credit/liquidity) for Buy-Side institutional investment clients, ensuring accuracy and timeliness * Lead the design ...

Perform quantitative cost and schedule risk analysis using Risk Management software (e.g. Oracle Primavera Risk Analysis, Acumen Risk, etc.) and provide the interpretation of results (e.g.

The Senior Director, Total Portfolio Risk is a key leadership role within the Risk Division ... Overseeing the development and implementation of quantitative methodologies, models, and analytics ...

Domain Knowledge - You have a degree in a quantitative field; a relevant professional designation e ... Business Analysis - For assigned market risk related initiatives, you will identify and engage ...

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Quantitative Risk information

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.

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.
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 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 July 2026, with employment types broken down into 1% Locum Tenens, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution.

Manager, Loss Forecasting Models

BMO Capital Markets

Toronto, ON โ€ข On-site

Full-time

Medical, Life, Retirement

Posted 26 days ago


Job description

Application Deadline:

07/07/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting
Manager, Loss Forecasting Models

The Manager, Loss Forecasting Models leads the development, enhancement, and governance of advanced forecasting models for retail credit portfolios. This role is highly technical and strategic, focused on applying statistical, machine learning, and AI methodologies to improve loss forecasting accuracy and business decision-making.

The ideal candidate brings strong experience from leading financial institutions, deep quantitative expertise, and hands-on programming skills, along with the ability to lead model initiatives and collaborate with stakeholders across Canada and the U.S.

Key ResponsibilitiesModel Development & Innovation
  • Lead the design, development, and implementation of loss forecasting models for retail credit portfolios.
  • Apply advanced statistical techniques and modern machine learning / AI approaches (e.g., GLMs, gradient boosting, random forests, neural networks) to enhance forecasting accuracy and risk insights.
  • Drive innovation by incorporating alternative data, new modeling techniques, and automation into forecasting frameworks.
  • Oversee the full model development lifecycle: data extraction, feature engineering, model training, validation, benchmarking, and deployment.
  • Ensure models comply with internal governance standards and regulatory expectations (e.g., SR 117, IFRS 9 / CECL where applicable).
Data, Analytics & Programming
  • Lead the analysis of large, complex datasets from multiple sources using Python, SAS, and SQL.
  • Guide exploratory data analysis to identify trends, macroeconomic drivers, and emerging portfolio risks.
  • Promote best practices in coding, model reproducibility, and scalable analytics.
  • Implement automation and reusable solutions to streamline forecasting and reporting processes.
Model Monitoring & Performance Management
  • Oversee ongoing model monitoring, including PSI, KS, AR, calibration, and back-testing.
  • Identify model degradation, data drift, and performance gaps; recommend recalibration or redevelopment strategies.
  • Ensure robust monitoring frameworks are in place to support proactive risk management and regulatory compliance.
Stakeholder Engagement & Leadership
  • Partner with senior stakeholders across Risk, Finance, Product, Strategy, and Model Risk Management.
  • Translate complex modeling outputs into actionable business insights.
  • Support model validation and audit processes by providing clear documentation and analytical evidence.
  • Mentor junior analysts and provide technical guidance on modeling best practices.
Documentation & Governance
  • Ensure comprehensive documentation of all models, including methodology, assumptions, limitations, and performance results.
  • Maintain high standards of model transparency, explainability, and regulatory compliance.
  • Lead responses to model validation, audit, and regulatory inquiries.
QualificationsRequired
  • Master's degree or higher in a quantitative discipline (Statistics, Mathematics, Economics, Data Science, Engineering, Computer Science, or related field).
  • Minimum 5+ years of experience in credit risk modeling, loss forecasting, or quantitative analytics within a bank or financial institution.
  • Proven experience developing loss forecasting / credit risk models (e.g., PD, LGD, ECL, stress testing).
  • Strong hands-on expertise in Python, SAS, and SQL for data manipulation, modeling, and analysis.
  • Solid foundation in statistics, econometrics, and predictive modeling techniques.
  • Demonstrated experience applying machine learning and AI methods to improve model performance and forecasting outcomes.
  • Experience working with large-scale, complex datasets in banking environments.
  • Strong problem-solving skills and attention to detail.
Preferred
  • Prior experience at leading financial institutions or exposure to multiple banking environments.
  • Knowledge of IFRS 9 / CECL frameworks and macroeconomic scenario modeling.
  • Experience with model governance frameworks and regulatory expectations (e.g., SR 117).
  • Leadership or mentoring experience in analytics or modeling teams.

Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

  • Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.
  • Monitors risk in strategies and portfolios alongside project managers or functional leads.
  • Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.
  • Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.
  • Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.
  • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
  • Conducts quantitative research in risks across strategies and portfolios.
  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
  • Provides specialized consulting, analytical and technical support.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works independently and regularly handles non-routine situations.
  • Broader work or accountabilities may be assigned as needed.
  • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications:

Foundational level of proficiency:

  • Regulatory capital and stress testing.
  • Compliance and regulation.
  • Machine learning.
  • Learning Agility.
  • Systems Thinking.

Intermediate level of proficiency:

  • Model risk management.
  • Data visualization.
  • Data wrangling.
  • Data preprocessing.
  • Critical thinking.
  • Driving Results.
  • Verbal & written communication skills.
  • Collaboration & team skills.
  • Analytical and problem solving skills.
  • Data driven decision making.

Advanced level of proficiency:

  • Quantitative financial modeling.
  • Computational thinking and programming.
  • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
  • Deep knowledge and technical proficiency gained through extensive education and business experience.

Salary:

$82,800.00 - $154,800.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.