Remote Model Risk Jobs in Canada

Requirements

• Model development or model validation experience, preferably related to credit risk models used within the financial services industry.
• A strong understanding of credit risk modeling theories, principles and industry best practices.
• Strong conceptual, analytical, detailed oriented and problem-solving skills
• Solid understand various data system structures/processes and how they affect the inputs and outputs of credit risk data.
• Experience with artificial intelligence / machine learning modeling techniques as well as logistic regression modeling techniques;
• Effective presentation and communication skills, with strong writing skills

Benefits

• 401k Matching
• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• Home Office Budget

Skills

Requirements

• MSc or PhD in quantitative fields such as statistics, applied mathematics, financial mathematics, data science, actuarial sciences, electrical engineering, or related fields.
• Experience in model validation and/or development within a financial institution, particularly in the credit risk area, is a plus.
• Certifications: While qualifications like CFA are helpful, they are not mandatory.
• Experience in credit risk models, including Stress Testing & loss forecasting, AIRB and Adjudication/Account Management is a plus.
• Ability to explain complex technical concepts in everyday language.
• Effective communication and stakeholder engagement skills.
• Ability to connect the dots between technical issues and business considerations.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• Strong foundation in AML and model validation
• Hands-on skills in SAS, Python, and SQL
• Ability to manage assigned validation/review projects
• Timely delivery of validation report with high quality
• Ability to identify early warning of model performance deterioration

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• Typically 5+ years of experience in Capital Markets model validation, quantitative risk or model development within a global financial institution.
• Master or PhD in a quantitative field (Finance, Mathematics, Physics, Engineering and etc.).
• In-depth knowledge and understanding of model validation, model risk management practices.
• Ability to work independently and regularly handle non-routine situations.
• Effective communication and interpersonal skills to work with stakeholders.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• Lead and execute independent model validations across a broad range of models
• Provide enterprise-wide oversight and coordination of validation activities
• Cultivate strong relationships with quantitative experts across HOOPP
• Establish a structured approach for involving internal quants in validation exercises
• Manage and oversee external validation providers

Benefits

• Parental Leave

Skills

Requirements

• 3 + years of model development or model validation experience
• Hands-on experience with artificial intelligence / machine learning modeling techniques
• Proficient Python programmer with a proven track record of delivering high-quality code
• Comfortable working with large data sets
• Solid understanding of data extraction and data mining, proficiency in SQL
• Post graduate degree in a quantitative field of study
• Strong understanding of retail credit risk modeling theories, principles and industry best practices
• Experience with Hadoop, Spark

Benefits

• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• Paid Time Off
• Remote Work

Skills

Requirements

• Review and validate credit rating models
• Discuss review outcomes with model owners and Criteria Officers
• Write high-quality validation reports and memos
• Contribute to enhancements in validation approaches and testing framework
• Develop a solid knowledge of model governance practices and the regulatory environment

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work

Skills

Requirements

• 3 + years of model development or model validation experience
• Hands-on experience with artificial intelligence / machine learning modeling techniques
• Proficient Python programmer with a proven track record of delivering high-quality code
• Comfortable working with large data sets
• Solid understanding of data extraction and data mining, proficiency in SQL
• Post graduate degree in a quantitative field of study
• Strong understanding of retail credit risk modeling theories, principles and industry best practices
• Experience with Hadoop, Spark

Benefits

• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• Paid Time Off
• Remote Work

Skills

Requirements

• Experience in quantitative analysis and regulatory frameworks
• Knowledge of financial products and risk measurement models
• Good programming skills
• Bachelor's or Master's degree in Mathematical/Computational Finance
• Ability to learn and adapt to new technologies

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work

Skills

Requirements

• Performs validation of Market Risk and CCR models and assesses model risk to confirm model appropriateness and capability for a designated portfolio.
• Provides effective challenge during model development and communicates decisions regarding model use to the business to ensure transparency and understanding of models and model risks.
• Assesses model’s capabilities, stress points and limitations; assesses the associated model risk and the controls in place to mitigate identified risks.
• Acts as a trusted advisor to Market Risk or CCR model risks.
• Influences and negotiates to achieve business objectives.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• Master’s or Ph.D. degree in finance, mathematics, applied mathematics, statistics, economics, econometrics, physics, computer science, engineering, etc.
• Model validation, model development, and/or internal audit experience
• In-depth hands-on experience in Statistical modelling tools
• Strong qualitative and quantitative analytical skills
• Knowledge of econometric/Statistical models, AIRB credit risk models (PD, LGD, EAD), IFRS 9/CECL, Fraud, AML, Scorecards, Adjudication, AI/Machine Learning, Stress Testing, etc.

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours

Skills

Requirements

• Master’s or Ph.D. degree in computer science, finance, mathematics, applied mathematics, statistics, economics, and/or econometrics, physics or engineering
• Experience in statistical modeling: logistic regressions, scorecards, survival models
• Deep understanding of credit risk concepts (PD, LGD, EAD)
• Expert-judgment and override scorecards, modeling philosophy, benchmarking risk rating models and testing of sensitivity to selected risk variables
• Assessment of model degradation and data stability using metrics like Population Stability Index (PSI), Kolmogorov-Smirnov (KS) test, and in fairness/bias assessments, including demographic parity and equalized odds

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work

Skills

Requirements

• Master's or Ph.D. degree in computer science, finance, mathematics, applied mathematics, statistics, economics, and/or econometrics
• Experience of developing and validating statistical models
• Deep knowledge of relevant regulations and guidelines
• In-depth hands-on experience in Statistical modelling tools
• Ability to learn and adapt to new technologies

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Training Budget

Skills

Requirements

• University degree in actuarial science, accounting, or a related field
• At least 5 years of relevant experience in advanced modeling
• Ability to quickly learn new platforms and reproduce complex calculations from first principles
• Strong analytical, synthesis, and communication skills for complex results
• Excellent command of tools: spreadsheets, databases, mathematical software, and programming languages
• Solid understanding of life and P&C insurance products as well as regulatory expectations regarding model risk management
• Advanced knowledge of French and English

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget

Skills

Requirements

• MSc or PhD in quantitative fields such as mathematics, statistics, or economics
• 5+ years of experience in credit risk model validation and management
• Strong understanding of credit risk models, stress testing, and model validation
• Ability to communicate complex technical concepts to non-technical stakeholders
• Experience with model development, performance monitoring, and lifecycle management
• Strong analytical and problem-solving skills
• Ability to work in a team environment and lead cross-functional teams

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• Bachelor's or Master's degree in Finance, Data Science, Statistics, Economics, Engineering, or related discipline.
• 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Strong analytical ability with experience manipulating large datasets and performing structured quantitative analysis.
• Proficiency with analytical tools (Python, SQL, R), visualization platforms (Tableau, Power BI), and enterprise data environments.
• Knowledge of model risk regulatory guidance (e.g., SR 11-7, OSFI E-23) and understanding of model development/validation concepts.
• Excellent communication skills, with the ability to translate technical information into senior-level insights.
• Strong attention to detail, data quality, and ability to manage multiple priorities in a fast-paced environment.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• Strong foundation in AML and model validation
• Hands-on skills in SAS, Python, and SQL
• Ability to manage assigned validation/review projects
• Experience with model inventory management
• Knowledge of credit risk analytics developments and applications

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work

Skills

Requirements

• Bachelor's or Master's degree in Finance, Data Science, Statistics, Economics, Engineering, or related discipline.
• 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Strong analytical ability with experience manipulating large datasets and performing structured quantitative analysis.
• Proficiency with analytical tools (Python, SQL, R), visualization platforms (Tableau, Power BI), and enterprise data environments.
• Knowledge of model risk regulatory guidance (e.g., SR 11-7, OSFI E-23) and understanding of model development/validation concepts.
• Excellent communication skills, with the ability to translate technical information into senior-level insights.
• Strong attention to detail, data quality, and ability to manage multiple priorities in a fast-paced environment.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• Typically 5+ years of experience in Capital Markets model validation, quantitative risk or model development within a global financial institution.
• Master or PhD in a quantitative field (Finance, Mathematics, Physics, Engineering and etc.).
• In-depth knowledge and understanding of model validation, model risk management practices.
• In-depth knowledge of regulatory requirements and legislative/ regulatory directives and guidance.
• Ability to work independently and regularly handle non-routine situations.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills

Requirements

• MSc or PhD in quantitative fields such as statistics, applied mathematics, financial mathematics, data science, actuarial sciences, electrical engineering, or related fields.
• Experience in model validation and/or development within a financial institution, particularly in the credit risk area, is a plus.
• Certifications: While qualifications like CFA are helpful, they are not mandatory.
• Proficiency in a programming language such as Python, R, or SQL.
• Experience in credit risk models, including Stress Testing & loss forecasting, AIRB and Adjudication/Account Management is a plus.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan

Skills