Remote C Jobs in Canada

Requirements

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity related field or equivalent certifications along with work experience.
• 3+ years of experience in application security, cloud security, or platform security engineering.
• Hands-on experience securing distributed systems or cloud-native applications (Kubernetes, APIs, microservices).
• Experience designing and implementing authentication, authorization, and data protection controls.
• Strong programming/scripting skills (Python, Go, or similar) for building security tooling and automation.

Benefits

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

Skills

Requirements

• Proficient programming skills in Python
• Strong SQL skills and experience working with cloud data platforms
• Ability to work independently across unfamiliar domains and ramp up quickly
• Strong communication and interpersonal skills
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field

Benefits

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

Skills

Requirements

• Strong knowledge of IT governance frameworks and standards
• Proficiency with IT governance, risk, and compliance tools
• Excellent written and verbal communication skills
• Ability to manage multiple priorities in a fast-paced environment
• Demonstrated ability to develop and implement AI policies, procedures, and controls

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Professional Development
• Remote Work
• Retirement Plan
• Training Budget

Skills

Requirements

• 5+ years of software development experience
• Experience independently designing and developing medium to large projects
• Experience working collaboratively across multiple engineering teams
• Ability to drive clear next steps when working in an ambiguous environment
• Ability to think creatively and reason clearly in a complex problem domain
• Experience developing, deploying, and maintaining reliable infrastructure systems
• Experience building security frameworks integrated with core AI infrastructure
• Experience designing and implementing defenses against AI specific threats

Benefits

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

Skills

Requirements

• Leadership and direction to the team
• Collaboration with data owners to identify and select relevant data sources
• Development and oversight of statistical and analytical models
• Design and implementation of tools and methodologies for stress testing
• Leadership of the enterprise Model Risk Management program
• Implementation of robust controls to maintain data completeness and accuracy
• Preparation of regular and ad hoc reports as requested by risk leaders
• Collaboration with risk leaders to determine scenario assumptions and appropriate methodologies

Benefits

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

Skills

Requirements

• Detail-oriented and enjoy accuracy-based work
• Can follow instructions carefully and apply them consistently
• Comfortable working independently with minimal supervision
• Strong reading comprehension and critical thinking skills
• Communicate clearly and respond to feedback professionally

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

• 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

• 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

• Conduct and review AI risk assessments
• Develop effective AI risk mitigation plans
• Provide AI risk advisory services
• Ensure AI solutions are appropriately risk-assessed
• Work collaboratively with technology and business teams

Benefits

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

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

• Conduct and review AI risk assessments
• Develop effective AI risk mitigation plans
• Provide AI risk advisory services
• Ensure all AI solutions are appropriately risk-assessed
• Work collaboratively with technology and business teams
• Ensure all CIBC AI Governance requirements are adhered to

Benefits

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

Skills

Requirements

• Lead enterprise-wide initiatives to continuously identify, assess, and remediate vulnerabilities across AI/ML systems
• Oversee the development and execution of vulnerability scanning, penetration testing, and red-teaming exercises specific to AI technologies
• Architect and enforce comprehensive AI security governance structures that align with Responsible AI guidelines, regulatory mandates, and organizational risk appetite
• Develop policies, standards, and approval processes that ensure full lifecycle oversight of AI/ML systems, supporting auditability, transparency, and accountability in all AI operations
• Direct identification, evaluation, and mitigation of risks inherent to AI/ML deployments
• Lead risk assessments, threat modeling, and scenario analysis to anticipate potential weaknesses and prioritize mitigation strategies
• Spearhead proactive threat intelligence, detection, and response to emerging AI threats

Benefits

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

Skills

Requirements

• Data Governance experience
• AI Governance experience
• Risk Management experience
• Data Quality experience
• Data Catalog experience
• Metadata Management experience
• Collaboration with data engineers
• Development and maintenance of data catalog

Benefits

• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours

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

• 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

• 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

• 8+ years of relevant experience in risk management, governance, controls, technology risk, model risk, data risk, compliance, or related disciplines
• Strong understanding of AI / ML / GenAI use cases and governance considerations
• Deep familiarity with enterprise governance processes, control frameworks, and first line risk ownership in a regulated environment

Benefits

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

Skills

Requirements

• Help set up and maintain the model governance framework covering the entire model life cycle
• Contribute to the sound management of model risk throughout the model life cycle
• Update the annual model risk assessment and suggest improvements to the methodology as needed
• Maintain an inventory of models and obtain the required information from stakeholders
• Participate in annual planning to support model governance and propose an annual plan to update the inventory

Skills

Requirements

• Help set up and maintain the model governance framework covering the entire model life cycle
• Contribute to the sound management of model risk throughout the model life cycle
• Update the annual model risk assessment and suggest improvements to the methodology as needed
• Maintain an inventory of models and obtain the required information from stakeholders
• Participate in annual planning to support model governance and propose an annual plan to update the inventory

Skills

Requirements

• Lead customer delivery of AI Governance solutions to enterprise clients
• Architect an outcome-based delivery model from scratch
• Manage and evolve the existing professional services business
• Build a high performance team
• Work closely with the CRO to close enterprise customers
• Design the end-to-end AI Governance Platform delivery model
• Develop onboarding frameworks, success metrics, and value pricing

Benefits

• Performance Bonus
• Equity
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Remote Work

Skills

Requirements

• 3+ years of experience in Financial Risk, Climate Science or Environmental Consulting
• Advanced degree (Master’s/PhD) in a quantitative, technical, or interdisciplinary discipline
• Expertise in climate physical and/or transition risk analysis
• Passion for applying innovative data analytics and strong programming skills
• Ability to develop quantitative models and perform scenario analysis
• Collaboration with internal stakeholders and vendors

Benefits

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

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

• 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