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Added 25 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Field of Study: Computer Science, Software Engineering, Health Informatics, or a related field, or equivalent professional experience
Added 25 days ago
NF
Senior Data Scientist
Northbridge Financial Corporation
Toronto, ON
- Full-time
We have a flexible hybrid model that allows you to work from home up to 2 days per week, with added flexibility for when you really need it
Added 25 days ago
T
TD Asset Management Portfolio Analytics Data Analyst Intern/Co-Op (Winter 2027)
TD
Toronto, ON
- Full-time
This is a hybrid work arrangement (4 days in office)
Added 25 days ago
CN
Area Geophysicist
Canadian Natural
Calgary, AB
- Full-time
All candidates applying to Canadian Natural must have legal authorization to work in Canada with no restrictions
Added 25 days ago
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Manager, Data Science, AI Risk
BMO
Sainte-Catherine, QC · Toronto, ON · FCP
- Full-time
Degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Information Technology, Business, or a related discipline.
Added 25 days ago
B
SENIOR TECHNOLOGY SPECIALIST - VIRTUAL DESKTOP & LINUX PLATFORMS
BDC
Montreal, QC
- Full-time
The specialist will leverage Ansible Automation Platform, Azure DevOps, PowerShell, Python, and API-driven integrations to automate operational processes, improve platform reliability, and…
Added 25 days ago
MT
DSP & Systems Architecture Intern
Marvell Technology
Toronto, ON · Markham, ON · CA-ON - Markham
- Full-time
Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our…
Added 25 days ago
H
Technical Production Support Analyst
Hays
Montreal, QC
- Contract
This role sits at the intersection of Production Support, Application Support, DevOps and Site Reliability Engineering (SRE). You will work closely with engineering and development teams to…
Added 25 days ago
RH
Building Sciences Lead (Specialist)
Rhizome HR
Markham, ON
- Full-time
Exposure to Python, data analytics, or AI/ML-enabled workflows.
Added 25 days ago
Senior Business Data Analyst - Asset Management Software
Siemens
ON · NB · NS · AB
The role offers significant ownership and visibility within a small, collaborative Data & AI team. You will work with modern technologies including Snowflake, dbt, SQL, Python, Power BI,…
Added 25 days ago
MI
Data Engineer
Mycionics Inc.
Kitchener, ON
- Full-time
Education: Graduate degree in Computer Science, Data Science, or Engineering is preferred. Undergraduate degrees with strong, relevant experience will be considered.
Added 25 days ago
TR
Systems Testing/QA Specialist - Intermediate
Top Recruitment
Toronto, ON
- Contract
Position type: On-site, 5 days per week
Added 25 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 25 days ago
MP
Systems Integration Lead (Revenue Mgmt Systems) (2) - Temporary Assignment Up to 18 Months
Municipal Property Assessment Corporation
Pickering, ON
- Temporary
Experience with Git version control, CI/CD pipelines, design patterns, data structures and algorithms, unit testing in Python or Java, and federated token-based authentication.
Added 25 days ago
Conversational AI Developer
Bell
Toronto, ON
For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week
Added 25 days ago
DevOps Engineer
Capgemini
Toronto, ON
…production troubleshooting, platform migrations, and reusable engineering…
Added 25 days ago
T
AI Technical Trainer – Microsoft 365 Copilot & Agentic AI
Trainify
Canada
- Contract
Grounding agents using SharePoint, websites, Dataverse, files, and enterprise data
Added 25 days ago
O
Senior Network Engineer
OnX
Toronto, ON
- Full-time
Lead and/or assist in the engineering (planning, design, implementation, and operation) of complex network infrastructure systems, including:
Added 25 days ago
T
Modelling / Forecasting Senior Analyst (Quants)
TD
Toronto, ON · Markham, ON
- Full-time
…statistics, economics, finance, mathematics, computer science and…
Added 25 days ago
Principal Engineer, Data Path / Metadata / Performance (StorageGRID)
NetApp, Inc.
Vancouver, BC
Lead StorageGRID designs and drive architectural alignment across data path engineering.
Added 25 days ago
C
Lead AI/ML Data Scientist - VP
Citi
Mississauga, ON
- Full-time
Citi is looking for a Lead AI/ML Data Scientist to join the Olympus Data Reconciliation and Engineering team, where you will shape the next generation of AI and machine learning…
Added 25 days ago
C
Consultant, Databricks Developer
CIBC
Toronto, ON
- Full-time
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
Added 25 days ago
M
Applied AI Engineer
Mantu
Montreal, QC
- Full-time
Work model: Hybrid, with day-one onboarding onsite and a minimum of 3 days per week in the office
Added 25 days ago
N
Senior Application Security Engineer
Nutrien
Calgary, AB
- Full-time
Partner with engineering and DevOps teams to evaluate, implement, and optimize vulnerability management capabilities across people, process, and technology
Added 25 days ago
LI
Datacenter Technician
LanceSoft, Inc.
Cambridge, ON
- $34 to $37 CAD / hour
- Contract
Maintain data center operations to ensure service availability and reliability.Conduct hardware and network diagnostics and repairs.Root cause analysis of hardware and software…

BMO

Manager, Data Science, AI Risk

Sainte-Catherine, QC, Canada
Toronto, ON, Canada
FCP, Canada

$70,000.00 - $150,000.00 · Full-time

Apply on bmo.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: $70,000.00 - $150,000.00
Job type: Full-time
Experience: 5-7+ years of experience in AI Risk, Model Risk, Technology Risk, Data Science Governance, Internal Audit, Validation, Independent Testing, or related fields.
Posting language: English
Posted: Oct 15, 2026

Original job description

Application Deadline:

10/23/2026

Address:

100 King Street West

Job Family Group:

Audit, Risk & Compliance

Build, operationalize, and continuously enhance the second-line AI Ongoing Monitoring and Independent Review program. The role is responsible for establishing sustainable oversight of AI performance, model and agent behavior, drift, emerging risk indicators, control effectiveness, and independent review activities across the AI lifecycle. The position supports remediation of audit findings, strengthens AI risk governance, and ensures alignment with evolving regulatory expectations.

Key Accountabilities

AI Ongoing Monitoring Program

Design, implement, and maintain the 2LOD AI ongoing monitoring framework, methodology, standards, and reporting processes.
Establish key risk indicators (KRIs), key performance indicators (KPIs), thresholds, triggers, and escalation protocols for AI risk oversight.
Monitor AI solutions for performance degradation, drift, emerging risks, control effectiveness, and adherence to approved risk treatment plans.
Develop portfolio-level monitoring dashboards and reporting to provide transparency into AI risk exposures, trends, and emerging concerns.
Analyze monitoring results and provide independent challenge, recommendations, and escalation where required.

Independent Review Program

Lead the development, standardization, and execution of independent review activities across AI use cases, and agentic AI solutions.
Develop review procedures, evidence standards, and quality assurance requirements for independent reviews.
Conduct independent assessments of AI governance, controls, monitoring activities, and compliance with applicable policies and standards.
Identify control weaknesses, process gaps, and emerging risks, and recommend corrective actions.
Track findings, management actions, and remediation progress through closure.

Risk Governance & Oversight

Acts as a trusted advisor to business and technology stakeholders on AI risk monitoring and oversight practices.
Provides effective challenge on AI risk decisions, controls, risk assessments, monitoring activities, and risk acceptance decisions.
Supports the interpretation of emerging AI regulations, guidance, and industry best practices and assesses impacts to governance frameworks.
Represents AI Risk Management during audits, examinations, and independent reviews.
Supports the development and maintenance of AI risk policies, standards, procedures, and guidance.

Analytics, Reporting & Continuous Improvement

Leads the monitoring, measurement, and reporting of AI risk program effectiveness to senior management and governance committees.
Identifies trends, systemic issues, and emerging risks across the AI portfolio and develops recommendations for management action.
Develops and maintains data repositories, dashboards, metrics, and reporting capabilities supporting AI oversight activities.
Uses data analytics and risk intelligence to continuously improve monitoring and review effectiveness.
Supports development of training materials and stakeholder education programs related to AI ongoing monitoring and independent review expectations.

Must-Have Capabilities

Experience designing and operationalizing ongoing monitoring frameworks.
Experience developing and executing independent review, testing, validation, audit, or quality assurance programs.
Strong risk analytics and reporting capabilities, including dashboard and metric development.
Ability to identify emerging risk indicators, control weaknesses, and systemic risk themes.
Experience establishing governance processes, standards, methodologies, and evidence requirements.
Strong written and verbal communication skills, including executive and regulatory reporting.
Demonstrated ability to provide effective challenge and influence senior stakeholders.
Experience supporting regulatory examinations, audits, issue remediation, and closure validation.

Qualifications

5-7+ years of experience in AI Risk, Model Risk, Technology Risk, Data Science Governance, Internal Audit, Validation, Independent Testing, or related fields.
Degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Information Technology, Business, or a related discipline.
Strong understanding of AI/ML lifecycle risks, monitoring techniques, model performance management, and emerging agentic AI risks.
Knowledge of AI governance frameworks and regulatory expectations (e.g., OSFI, OCC, Federal Reserve, NIST AI RMF, EU AI Act, SR 11-7 principles).
Experience developing risk metrics, dashboards, monitoring automation, and portfolio reporting.
Strong analytical, problem-solving, stakeholder management, and communication skills.
Experience with data visualization and analytics platforms (e.g., Power BI, SQL, Python) preferred.
Audit, risk management, model validation, or governance-related certifications are considered an asset

Salary:

$70,000.00 - $150,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Apply on bmo.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

The role involves designing and operationalizing a second-line AI ongoing monitoring and independent review program to ensure effective AI risk governance. It requires establishing risk indicators, conducting independent assessments, and providing expert challenge to stakeholders regarding AI performance and compliance.

Requirements

Candidates must have 5-7+ years of experience in AI risk, model risk, or related fields, along with a degree in a quantitative or technical discipline. Strong knowledge of AI governance frameworks and regulatory expectations is essential, as is proficiency in data analytics and reporting tools.

Skills

AI risk management
Model risk
Data science governance
Internal audit
Independent testing
Risk analytics
Dashboard development
Regulatory compliance
SQL
Python
Power BI
AI lifecycle management
Control effectiveness
Stakeholder management
Reporting
Governance frameworks

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

AI Risk
Model Risk
Data Science
Governance
Internal Audit
Compliance
OSFI
OCC
NIST AI RMF
EU AI Act
SR 11-7
SQL
Python
Power BI
Risk Analytics
Monitoring Framework
Independent Review
Agentic AI
Machine Learning
Data Visualization
Reporting
Control Effectiveness
Regulatory Expectations
Risk Indicators
Stakeholder Management
Technology Risk
Quality Assurance
Validation
Portfolio Management
Remediation

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Work requirements

Jobs in Canada