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Model Validation Manager Jobs in Ontario (NOW HIRING)

While this role does not include people management responsibilities in the short term, you will ... Partner with model validation to ensure robust model governance through comprehensive documentation ...

Drive release readiness reviews, confirming that testing, model validation, documentation, operational runbooks, approvals, and risk assessments are complete. * Manage cross-team dependencies and ...

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Model Validation Manager information

See Ontario salary details

$23.5K

$120.9K

$199.5K

How much do model validation manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for model validation manager in Ontario is $120,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $146,500.00 per year, depending on experience, location, and employer.

How does a model validation manager collaborate with other teams during the model validation process?

A Model Validation Manager works closely with model developers, risk management teams, and internal audit to ensure models meet regulatory and business standards. Collaboration often involves reviewing model documentation, discussing model assumptions and methodologies, and providing feedback for improvements. Effective cross-functional communication is essential, as validation managers must balance technical analysis with regulatory compliance and business objectives. Regular meetings and clear reporting lines help facilitate this collaboration, ensuring that model risks are identified and addressed promptly.

What is the difference between Model Validation Manager vs Quantitative Analyst?

AspectModel Validation ManagerQuantitative Analyst
CredentialsTypically requires advanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM are commonOften holds degrees in finance, economics, or mathematics; certifications like CFA are also common
Work EnvironmentWorks in risk management, model validation teams within banks or financial institutionsWorks in trading, investment analysis, or risk departments within financial firms
Industry UsagePrimarily in banking, asset management, and financial services for model risk assessmentAcross investment firms, hedge funds, and banks for market analysis and trading strategies

The Model Validation Manager focuses on reviewing and validating financial models to ensure accuracy and compliance, often working within risk management teams. In contrast, a Quantitative Analyst develops and applies mathematical models for trading, investment, or risk purposes. While both roles require strong quantitative skills and similar credentials, their core responsibilities and work environments differ significantly.

What skills and qualifications are needed to be a model validation manager?

To thrive as a Model Validation Manager, you need strong quantitative analysis skills, knowledge of risk management, and an advanced degree in mathematics, statistics, finance, or a related field. Familiarity with technical tools such as Python, R, SAS, and model risk management frameworks, as well as experience with regulatory compliance, is typically required. Exceptional problem-solving, communication, and stakeholder management abilities are important soft skills for this role. These skills ensure effective validation of financial models, regulatory compliance, and clear communication of complex findings to non-technical audiences.

What does a model validation manager do?

A Model Validation Manager is responsible for overseeing the validation of financial, risk, or predictive models within an organization. Their primary duties include ensuring that models are accurate, reliable, and compliant with regulatory requirements. They lead teams that assess model performance, identify potential weaknesses, and recommend improvements. This role helps maintain the integrity of models used in decision-making processes, particularly in industries like banking and finance.
What are popular job titles related to Model Validation Manager jobs in Ontario? For Model Validation Manager jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Model Validation Manager jobs in Ontario look for? The top searched job categories for Model Validation Manager jobs in Ontario are:
What cities in Ontario are hiring for Model Validation Manager jobs? Cities in Ontario with the most Model Validation Manager job openings:
Infographic showing various Model Validation Manager job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $120,916 per year, or $58.1 per hour.

Manager, Forecasting Models - Retail & Small Business (Contract until April 2027)

Scotiabank

Toronto, ON โ€ข On-site

Full-time

Posted 15 days ago


Job description

Requisition ID: 269120ย 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

As Manager, IFRS 9 Modelling, Enterprise Stress Testing, you will contribute to the overall success of IFRS 9 credit risk modelling, analytics, and reporting for Canadian retail and / or small business portfolios. You will ensure specific individual goals, plans, and initiatives are executed / delivered in support of the team's business strategies and objectives. You will also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.ย You will report directly to a Senior Manager or Director and be a critical member of the team developing the forward-looking probability of default (PD), loss given default (LGD) or other models used to estimate credit risk for Canadian lending products. With access to a modern machine learning stack that includes open-source development environments, you will be responsible for model development, documentation, implementation, and maintenance. You will collaborate, on a regular basis, with a wide range of stakeholders and internal/external partners including Model Validation and Approval, Retail Provisions, Compliance, and Audit.

Is this role right for you? In this role, you will:

  • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
  • Develop credit risk models for the retail and / or small business portfolios that predict PD, LGD, EAD, etc. for IFRS 9 provisioning and financial reporting
  • Document all models and processes developed and work with the model validation team to ensure timely and satisfactory validation
  • Support the integration of new models into IFRS 9 and Enterprise-Wide Stress Testing analytics and reporting processes
  • Work with stakeholders and technology partners to implement and test the models in user acceptance testing and production environments
  • Understand how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions
  • Actively pursue effective and efficient operations of the respective areas
  • Ensure adequacy of, effectiveness of, and adherence to day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct

Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

  • Advanced degree in Economics, Finance, Statistics, Mathematics, Physics, Engineering or other related quantitative discipline
  • Predictive modelling or machine learning, statistical, and programming skills gained through work experience, a graduate degree, or other advanced training in a quantitative discipline
  • Experience with Python or R including data processing with pandas or dplyr
  • Excellent communication skills and the ability to communicate with stakeholders across a wide variety of functions, including the ability to clearly summarize and display data
  • The ability to quickly grasp and embrace new concepts and technologies
  • Experience with Linux or UNIX systems and version control software such as Git is required
  • Domain expertise in retail credit risk and IFRS 9 is an asset
  • Experience with pyspark or sparklyr for data wrangling is an asset
  • Experience with matplotlib, plotly, seaborn, or ggplot2 for data visualization is an asset
  • The ability to be flexible, adapt quickly to change, and thrive in an evolving environment

What's in it for you?

  • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success
  • Your career matters! You will have access to career development and progression opportunities.

Location(s): ย Canada : Ontario : Torontoย 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.ย ย 
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let ourย  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.