BMO

Benefits

• Health Insurance
• Life Insurance
• Tuition Reimbursement

Skills

Requirements

• Bachelor's degree in Finance, Mathematics, Engineering, Computer Science, Economics, or related field.
• Strong analytical ability and attention to detail.
• Experience reviewing spreadsheets, calculators, or rules-based tools.
• Familiarity with operational risk or model risk governance principles.
• Strong communication and documentation skills.

Benefits

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

Skills

Requirements

• Performs validation of 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.
• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviour that fosters diversity and inclusion.

Benefits

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

Skills

Requirements

• Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance
• Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks
• Apply professional judgment to determine control effectiveness, identify control gaps, and assess residual risk
• Provide risk, control, and process advisory support to business and technology partners related to Data and AI governance
• Advise on control design, control enhancements, and process improvements to address identified risks or emerging governance expectations

Benefits

• 401k Matching
• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• Paid Time Off

Skills

Requirements

• Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance
• Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks
• Apply professional judgment to determine control effectiveness, identify control gaps, and assess residual risk
• Provide risk, control, and process advisory support to business and technology partners related to Data and AI governance
• Advise on control design, control enhancements, and process improvements to address identified risks or emerging governance expectations
• Support and provide input into risk assessments, including identification of inherent risks, evaluation of mitigating controls, and assessment of control coverage

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Paid Time Off
• Professional Development
• Remote Work
• Training Budget

Skills

Requirements

• Performs validation of 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.
• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviour that fosters diversity and inclusion.

Benefits

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

Skills

Requirements

• Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance
• Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks
• Perform reperformance testing, sampling, and evidence validation to assess control execution
• Apply professional judgment to determine control effectiveness and identify control gaps
• Lead and conduct walkthroughs with control owners and stakeholders to understand end-to-end processes related to in-scope control activities
• Analyze and assess business and governance artifacts, including data governance policies, standards, and procedures, data lineage and data quality documentation, AI governance artifacts

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

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

• 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

• Hands-on experience and advanced knowledge in AML or Fraud models
• Good knowledge and relevant training in data mining, machine learning, and statistical analysis techniques
• In-depth knowledge of industry best practices
• Good knowledge of regulatory requirements on AML models
• Experience in regulatory matters as an asset
• Master's Degree, PhD. preferred in a quantitative field e.g., Mathematics, Computer Science, Statistics and Engineering
• AML Designation such as CAMS, ACAMS preferred
• Detail-oriented, analytical, well organized, highly self-motivated and good interpersonal skills

Benefits

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

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

• 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

• Perform model validation activities across different stages of the model life cycle
• Provide effective challenge to model developers
• Communicate model risk findings to stakeholders
• Assess model's capabilities, stress points and limitations
• Assess the associated model risk and the controls in place to mitigate identified risks

Benefits

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

Skills

Requirements

• Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance
• Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks
• Perform reperformance testing, sampling, and evidence validation to assess control execution
• Apply professional judgment to determine control effectiveness and identify control gaps
• Lead and conduct walkthroughs with control owners and stakeholders to understand end-to-end processes related to in-scope control activities
• Analyze and assess business and governance artifacts, including data governance policies, standards, and procedures, data lineage and data quality documentation, AI governance artifacts

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Professional Development

Skills

Requirements

• Design and implement advanced evaluation methods for LLMs and ML systems
• Build and maintain high-quality evaluation datasets, golden sets, challenge sets, and red-teaming corpora
• Develop reusable evaluation harnesses and pipelines that support multi-agent workflows, tool use, and retrieval-augmented generation scenarios
• Conduct empirical analyses, including statistical tests, error analysis, and ablation studies, to identify model weaknesses and guide model and product improvements
• Integrate evaluation metrics and signals into model training loops, deployment gating checks, and continuous monitoring processes
• Prototype and validate novel evaluation algorithms inspired by current research in LLM safety, interpretability, and reliability
• Produce clear, actionable evaluation reports that translate technical findings into insights for engineering, modeling, product, and business stakeholders

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• In-depth knowledge in derivative/financial products
• Expertise in interest rate/fixed income including MBS, commodity, and foreign exchange asset classes
• Validation of models and assessment of model risk
• Effective challenge during model development
• Communication of decisions regarding model use to the business
• Assessment of model's capabilities, stress points and limitations
• Identification of associated model risk and controls in place to mitigate identified risks

Benefits

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

Skills

Requirements

• In-depth knowledge of derivative/financial products
• Expertise in interest rate/fixed income, including MBS, commodity, and foreign exchange asset classes
• Ability to perform model validation and assess model risk
• Effective communication and challenge during model development
• Ability to foster a culture aligned to BMO purpose, values, and strategy
• Strong analytical and problem-solving skills
• Ability to lead and manage teams
• Strong business acumen and understanding of the business/group

Benefits

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

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

• 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

• 5+ years of relevant experience
• Strong understanding of machine learning and Gen AI methodologies
• Proficient knowledge of model development, governance, and productionalization process
• Strong Power BI and SQL skills for maintaining model performance dashboard
• Typically a post-secondary degree in related field of study or an equivalent combination of education and experience

Benefits

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

Skills

Requirements

• Performs validation of 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.
• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviour that fosters diversity and inclusion.

Benefits

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

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

• 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Knowledge of model risk regulatory guidance (e.g., SR 11-7, OSFI E-23) and understanding of model development/validation concepts.
• Experience designing and enforcing governance controls, processes, or oversight.
• Ability to lead change-management initiatives related to model governance process updates, system enhancements, regulatory changes, and policy revisions.
• Strong communication and stakeholder engagement skills to drive alignment on governance requirements and embed model risk principles into business practices.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Professional Development
• Retirement Plan
• Wellness Programs

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

• 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Knowledge of model risk regulatory guidance (e.g., SR 11-7, OSFI E-23) and understanding of model development/validation concepts.
• Experience designing and enforcing governance controls, processes, or oversight.
• Ability to lead change-management initiatives related to model governance process updates, system enhancements, regulatory changes, and policy revisions.
• Strong communication and stakeholder engagement skills to drive alignment on governance requirements and embed model risk principles into business practices.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Professional Development
• Retirement Plan
• Wellness Programs

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

• 7+ years of experience in engineering or data science roles
• Strong programming skills (e.g., Python, Java, or similar)
• Experience building and maintaining evaluation pipelines for large language models (LLMs) and/or other AI systems
• Solid understanding of deep learning concepts, model training, and deployment practices
• Familiarity with MLOps, CI/CD, and cloud-based AI infrastructure is a plus
• Experience driving initiatives and collaborating with cross-functional teams

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Knowledge of model risk regulatory guidance (e.g., SR 11-7, OSFI E-23) and understanding of model development/validation concepts.
• Experience designing and enforcing governance controls, processes, or overs
• Ability to lead change-management initiatives related to model governance process updates, system enhancements, regulatory changes, and policy revisions.
• Strong communication and stakeholder engagement skills to drive alignment on governance requirements and embed model risk principles into business practices.

Benefits

• 401k Matching
• Certification Support
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours
• Health Insurance

Skills

Requirements

• 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Knowledge of model risk regulatory guidance (e.g., SR 11-7, OSFI E-23) and understanding of model development/validation concepts.
• Experience designing and enforcing governance controls, processes, or overs
• Lead the development, enhancement, and enforcement of enterprise model governance policies, standards, and procedures aligned with regulatory expectations.
• Oversee and improve end-to-end governance processes including model intake, approval, tiering, periodic reviews, ongoing monitoring, and decommissioning.
• Establish quality assurance processes to ensure compliance with governance requirements across Model Development, Validation, and Business Owners.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance
• Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks
• Perform reperformance testing, sampling, and evidence validation to assess control execution
• Apply professional judgment to determine control effectiveness and identify control gaps
• Lead and conduct walkthroughs with control owners and stakeholders to understand end-to-end processes related to in-scope control activities
• Analyze and assess business and governance artifacts, including data governance policies, standards, and procedures, data lineage and data quality documentation, AI governance artifacts

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

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

Requirements

• Performs validation of 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.
• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviour that fosters diversity and inclusion.

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.
• Minimum of 4 years of experience in model validation and/or development within a financial institution, particularly in the credit risk area.
• Effective communication and stakeholder engagement skills.
• Ability to explain complex technical concepts in everyday language.
• Regulatory expertise and knowledge of relevant regulations and policies.
• Risk understanding and ability to connect the dots between technical issues and business considerations.

Benefits

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

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

• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Paid Time Off

Skills