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Statistics Validator Jobs in Quebec (NOW HIRING)

... using statistical and machine learning methods: Data manipulation and transformation Model selection, training, and validation Programming and integration into our software product suite

You'll develop and validate algorithms that extract clinical-grade physiological signals (heart ... Strong fundamentals in digital signal processing, statistical methods, and real-time systems * Deep ...

You'll develop and validate algorithms that extract clinical-grade physiological signals (heart ... Strong fundamentals in digital signal processing, statistical methods, and real-time systems * Deep ...

Documenting analyses findings and conclusions in validation reports * Interact with stakeholders ... A Bachelor's degree in statistics, actuarial, finance, mathematics or a related field and 5 years ...

Documenting analyses findings and conclusions in validation reports * Interact with stakeholders ... A Bachelor's degree in statistics, actuarial, finance, mathematics or a related field and 5 years ...

... a model validation specialist. This position allows you to have a positive impact on our ... Prerequisites A Bachelor's degree in statistics, actuarial, finance, mathematics or a related field ...

Bachelor's degree in Computer Science, Statistics, Mathematics, Information Systems, or a related ... Proven attention to data quality -- you cross-validate outputs, question unexpected results, and do ...

Bachelor's degree in Computer Science, Statistics, Mathematics, Information Systems, or a related ... Proven attention to data quality -- you cross-validate outputs, question unexpected results, and do ...

Maintain valid travel documents at all times. * Bilingual (French and English) Preferred ... Some evenings, weekends and possibly stat holidays will be required to be worked * 30% of travel on ...

Maintain valid travel documents at all times. * Bilingual (French and English) Preferred ... Some evenings, weekends and possibly stat holidays will be required to be worked * 30% of travel on ...

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Statistics Validator information

What are Statistics Validators?

Statistics Validators are professionals who verify the accuracy, integrity, and reliability of statistical data and analyses. They review datasets, methodologies, and statistical outputs to ensure that findings are valid and meet relevant standards. Their work is crucial in research, government, and industry settings, where credible data is essential for decision making. By checking for errors, inconsistencies, and biases, Statistics Validators help maintain the quality and trustworthiness of statistical information.

What are the primary challenges a Statistics Validator faces when ensuring data integrity within a project?

Statistics Validators often encounter challenges related to data quality, such as incomplete datasets, inconsistent formats, or errors introduced during data collection and entry. They must meticulously review data sources, cross-check results, and ensure that statistical methodologies are correctly applied. Collaboration with data analysts, researchers, and IT teams is essential to resolve discrepancies and maintain high data standards. Staying up-to-date with industry best practices and regulatory requirements also plays a crucial role in overcoming these challenges.

What is the difference between Statistics Validator vs Data Analyst?

AspectStatistics Validator
Required CredentialsTypically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common
Work EnvironmentPrimarily office-based, working with data validation processes, quality assurance, and compliance
Employer & IndustryFinancial institutions, research organizations, government agencies, and data-driven companies
Comparison with Data Analyst

The main difference between a Statistics Validator and a Data Analyst lies in their focus. A Statistics Validator specializes in verifying the accuracy and integrity of statistical data, ensuring compliance with standards. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require strong statistical knowledge, the validator emphasizes quality assurance, whereas the analyst emphasizes data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Statistics Validator, and why are they important?

To thrive as a Statistics Validator, you need a strong background in statistics, data analysis, and quality assurance, often supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as proficiency in data validation frameworks and reporting tools, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure the accuracy and clarity of validated data. These skills and qualities are crucial for maintaining data integrity, supporting decision-making, and upholding the credibility of statistical results.
What are popular job titles related to Statistics Validator jobs in Quebec? For Statistics Validator jobs in Quebec, the most frequently searched job titles are:
Infographic showing various Statistics Validator job openings in Quebec as of June 2026, with employment types broken down into 69% Full Time, 24% Part Time, and 7% Nights. Highlights an 100% In-person job distribution.

Model Risk Governance Specialist Quantification

National Bank

Montreal, QC โ€ข Hybrid

Full-time

Medical, Retirement

Posted 18 days ago


Job description

A career as a Model Risk Governance Specialist - Risk Assessment in the Model Risk Management team at National Bank means acting as a quantitative governance specialist responsible for evolving, calibrating and maintaining the Bankโ€™s established model risk assessment methodologies. In this role, you help strengthen model risk governance by ensuring that model risk is assessed consistently across the organization, based on the inherent risk of using a model, including model vulnerabilities, materiality of impacts, model uncertainty, limitations, usage and ongoing monitoring results. Your job As a Model Risk Governance Specialist - Risk Assessment, you will: Drive the ongoing evolution, calibration and expansion of the Bankโ€™s established model risk rating and assessment methodology, including practices related to inherent model risk, model vulnerabilities, materiality of impacts, uncertainty, limitations and usage.

Define and calibrate clear, measurable criteria to support consistent model risk ratings across model types, business lines and risk categories, using both quantitative and qualitative factors. Establish assessment dimensions that consider model complexity, methodology, assumptions, data reliability, model autonomy, intended use, business purpose, customer impact, regulatory exposure and potential financial, operational or reputational impacts. Apply quantitative judgment to evaluate key drivers of model risk, including model uncertainty, sensitivity to assumptions, data quality, performance stability, model limitations and changes in model use or environment.

Review and challenge the application of the model risk rating approach by model stakeholders to ensure assessments are complete, well-supported, consistently applied and aligned with governance expectations. Define expectations for assigning, reviewing and updating model risk ratings throughout the model lifecycle, including when trigger events occur such as material model changes, changes in use, performance deterioration, data changes or infrastructure changes. Analyze ongoing monitoring results, model limitations, validation outcomes, usage patterns and control information to determine whether the model risk rating approach remains appropriate and effective.

Support visibility of both inherent and residual model risk for governance reporting, while ensuring that oversight expectations remain aligned with the level and nature of inherent model risk. Identify trends, inconsistencies, emerging themes and areas requiring methodology refinement, additional guidance or governance attention. Recommend enhancements to the assessment methodology, rating criteria, documentation standards, governance tools and reporting practices.

Prepare decision-ready materials for senior management and governance committees, highlighting model risk rating outcomes, methodology considerations, material limitations, impact analysis, emerging themes and items requiring attention or decision. Collaborate with model owners, model developers, validators, business lines, technology teams and risk partners to ensure the model risk rating methodology is understood, applied consistently and integrated into governance processes. Provide advisory support and training to stakeholders on model risk rating expectations, including inherent risk, materiality, uncertainty, limitations, monitoring results, trigger events and governance implications.

Your team Within the Model Risk Management group, you are part of a team of professionals who provide second line of defence oversight for model risk across the Bank. You report to the Senior Director, Model Risk Governance. Our team stands out for its analytical rigour, proactive governance mindset, collaborative approach and ability to influence model stakeholders across the Bank.

We ultimately aim to offer you maximum flexibility and quality of life. This notably means a hybrid work environment, as well as adaptable working hours. The Bank values continuous development and internal mobility.

Our personalized training programs enable you to master your job and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center as well as coaching and mentoring support are available to you at all times. Prerequisites Hold a Bachelorโ€™s degree in mathematics, statistics, economics, finance, engineering, computer science, data science, actuarial science, risk management or a related quantitative field and 7 years of relevant experience; OR a Masterโ€™s degree in a quantitative, finance, technology or risk-related field and 5 years of relevant experience.

Experience in model risk management, model validation, quantitative risk assessment, risk methodology, risk analytics, statistical modelling, financial modelling or data science in financial services. Strong understanding of model risk concepts, including inherent model risk, model vulnerabilities, materiality, uncertainty, model limitations, lifecycle governance and ongoing monitoring. Experience developing, maintaining or enhancing risk rating methodologies, assessment frameworks, quantitative criteria, qualitative criteria, governance tools, analytical frameworks or management reporting.

Strong quantitative skills, with the ability to assess model methodologies, assumptions, data inputs, outputs, limitations, performance indicators, monitoring results and potential impacts. Ability to exercise sound judgment when assessing model risk, challenging assumptions and determining whether risk conclusions are well-supported and consistently applied. Good understanding of governance frameworks, control environments, model documentation, validation practices, monitoring expectations, issue management and committee reporting.

Strong analytical and communication skills, with the ability to explain complex quantitative and governance topics clearly to senior stakeholders. Your benefits In addition to competitive compensation, upon hiring youโ€™ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as: * Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and family assistance program * Preferential banking services * Involvement in community initiatives * Telemedicine service * Virtual sleep clinic We have an offer that keeps up with trends as well as your needs and those of your family. Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience.

We value employeesโ€™ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged. Making a bold move in a people-first environment Weโ€™re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people.

Our mission is to have a positive impact on peopleโ€™s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.

We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates!

What can you bring to our team? Join us!