Application Deadline: 07/06/2026 Address: 33 Dundas Street West Job Family Group: Technology Provides production and end-user support and governance for the risk technical platform and system environment that supports risk data & control structures (e.g. process controls, user access controls, data integrity controls) to enable risk processes and operations. Supports and oversees the planning, maintenance and change management for risk system strategies, process changes, system parameter changes, production schedules, and operational tasks. Oversees the management of system parameter changes. Works with stakeholders to resolve issues and provide solutions that ensure service delivery and effectiveness. Strategic Leadership & Advisory Provides strategic input into business and credit risk decisions as a trusted advisor, incorporating AI capabilities, limitations, and risk considerations into decision frameworks. Makes recommendations to senior leaders on AI-driven credit risk strategies executional approaches, ensuring alignment with regulatory expectations (e.g., OSFI model risk, fairness, explainability). Advises on adoption of AI for underwriting, monitoring, adjudication, and collections, balancing innovation with risk appetite and customer impact. AI Strategy, Roadmap & Execution Recommends business priorities and develops AI roadmap for credit risk transformation (e.g., decision automation, early warning systems, de-risking strategies) Leads the integration of AI capabilities into Credit Risk Decision Platform, ensuring alignment with existing upstream/downstream systems Analytical Leadership & Independent Challenge Conducts independent analysis to assess: AI related output relating to (accuracy, stability, drift) Model limitations and failure modes (including hallucinations in LLM use cases) AI Development & Validation Controls Establishes and oversees AI development best practices including: Controlled sampling strategies for LLM use cases (e.g., low-temperature, validation loops) Grounding techniques (RAG, policy-based constraints) Advise of training ensuring data/context is consistent with production implementations Tested across edge cases, stress scenarios, and population segments Partners with Model Validation teams to ensure independent validation prior to deployment Incident Management & Root Cause Analysis Collaborates with Technology and Analytics teams to: Investigate anomalies in AI/Deterministic outputs or system behaviour Perform root cause analysis (data issues, model issues, integration failures) Implement corrective actions and control enhancements Ensures adherence to production support processes, including incident logging, remediation, and audit documentation Qualifications: Typically 7+ years of relevant experience with post-secondary degree in a related field or equivalent combination of education and experience, with demonstrated delivery of AI/ML solutions in credit risk, underwriting, or decisioning environments achieving measurable business outcomes. Polyglot developer with extensive experience writing scripts in Python/Node.js/JAVA/SAS/SQL and Groovy. Comfortable with consuming Restful API's utilizing both Postman/Soap UI or bespoke clients. In-depth knowledge of risk system management concepts and applications, including integration of AI/ML models into enterprise decision platforms (e.g., adjudication engines, monitoring systems, customer lifecycle management). Seasoned professional with a combination of education, experience, and industry knowledge, complemented by practical expertise in deploying AI solutions from proof-of-concept to production with full lifecycle governance (design → validation → deployment → monitoring). Core Professional Skills Verbal & written communication skills – In-depth / Expert, with ability to translate complex concepts into clear, executive-ready and regulator-ready narratives. Analytical and problem-solving skills – In-depth / Expert, including ability to diagnose system performance issues, data anomalies, and system-level failures. Influence skills – In-depth / Expert, with demonstrated success driving AI adoption across business, risk, and technology stakeholders while addressing concerns around trust, control, and compliance. Collaboration & team skills – In-depth / Expert, with a focus on cross-functional delivery across data science, risk, technology, validation, and audit. Ability to manage ambiguity, particularly in emerging AI use cases where regulatory expectations, model behavior, and business requirements are evolving. Data-driven decision making – In-depth / Expert, with experience leveraging advanced analytics, model outputs, and performance monitoring to inform strategic credit risk decisions. Salary: $94,600.00 - $176,000.00 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. BMO is a leading bank driven by a single purpose: to Boldly Grow the Good in business and life. Everywhere we do business, we’re focused on building, investing and transforming how we work to drive performance and continue growing the good. Who we are We’re proud to be fueling growth and expanding possibilities for individuals, families and businesses. More than 12 million customers count on us for personal and commercial banking, wealth management and investment services. As the 8th largest bank in North America by assets, we provide personal and commercial banking, wealth management and investment services to more than 12 million customers. In Canada, the United States and across the globe, we’ll continue to build, invest and transform to drive performance that serves the good that grows.