Jobs at BMO

Manage and grow a portfolio of middle-market public company clients by building trusted advisory relationships, originating and structuring complex credit and treasury solutions, driving new business and cross-selling, leading deal execution and credit discussions, collaborating with internal specialists, monitoring portfolio performance and risk, and ensuring regulatory and compliance adherence.

Provide senior-level administrative, clerical, financial, and HR support to managers and teams. Build stakeholder relationships, prepare reports and dashboards, coordinate budgets, events, travel, invoices and expenses, manage calendars, supervise junior administrative staff, maintain filing and supplies, and develop communications and process improvements to ensure efficient department operations.

Lead strategy and execution to migrate customer transactions from assisted channels to digital. Own end-to-end product lifecycle, define customer experience, prioritize backlog, run proofs of concept, establish go-to-market and pricing, manage budgets and timelines, drive adoption, and lead cross-functional teams while ensuring risk-informed decisions and stakeholder alignment.

Provide needs-based financial and investment planning to clients, sell managed products, generate referrals, meet sales targets, build relationships, and ensure regulatory compliance while supporting business development and community engagement.

Designs, develops, tests, and maintains mainframe applications (COBOL/CICS/PL/1) to meet business and enterprise standards. Ensures security, performance, and operational stability, analyzes system impacts, resolves production issues, reviews code, mentors team members, and recommends modernization and process improvements.

Provide and manage legal and regulatory advice for Wealth Management, focusing on securities and asset management. Deliver legal oversight, issue management, and negotiate to achieve business objectives. Act as subject matter expert, instruct external counsel, mitigate legal risk, support compliance, and resolve complex sensitive matters across business groups and regulators.

Lead IFRS 9 allowance reporting, governance, and regulatory submissions. Build automated analytics, dashboards, and reconciliations using Python/R/SQL and Power BI/Tableau. Maintain policies, controls, and audit-ready documentation; perform control testing, UAT, and stakeholder reporting. Drive process improvement, data modernization, and cross-functional initiatives with Risk, Finance, and Technology.

Lead partnership and co-brand product strategy with P&L accountability. Define product lifecycle, build business cases, manage vendor/partner relationships, oversee analytics and reporting, ensure regulatory and risk compliance, drive go-to-market and sales enablement, and lead change management to meet financial and growth targets.

Serve as a trusted advisor between business and technology to design, prioritize, and deliver digital channel/platform solutions. Lead strategic analysis, UX-informed solution design, stakeholder engagement, and program execution while monitoring performance, recommending enhancements, and applying risk management to meet business objectives.

Provides exceptional retail banking service, handles transactions and customer inquiries, identifies financial needs, recommends banking and credit card solutions, and refers customers to specialists. Supports branch operations, cash reconciliation, compliance processes, suspicious-activity reporting, and customer applications. Builds customer relationships, promotes digital banking tools, contributes to branch business results, and escalates complex issues. May work across multiple branches and variable shifts.

Designs, develops, tests, and optimizes scalable machine learning and deep learning systems. Builds ML applications, algorithms, tools, and data pipelines; transforms unstructured data into useful information; trains models, monitors drift, analyzes results, and scales analytics solutions for business decision-making. Requires collaboration with data and analytics professionals and sound risk-aware decision-making within banking policies and regulations.

Designs, develops, tests, and deploys scalable machine learning and deep learning systems. Builds and improves data pipelines and lakes, trains models, prevents model drift, optimizes algorithms and frameworks, and converts unstructured data into useful insights through image and speech applications. Performs statistical analysis, interprets results, and develops repeatable analytics and decision-support solutions while adhering to banking risk-management requirements.

Designs, develops, tests, and deploys scalable machine learning and deep learning systems. Builds and enhances data pipelines and lakes, trains and monitors models, prevents model drift, optimizes algorithms, and transforms unstructured data into useful insights through applications such as image tagging and text-to-speech. Performs statistical analysis, interprets results, and collaborates with analytics professionals to automate and scale decision-support solutions.

Manages and grows mid-market banking relationships through business development, portfolio management, deal structuring, credit approvals, cross-selling, and strategic financial advice. Resolves complex client issues, identifies share-of-wallet opportunities, analyzes market trends, and collaborates with internal teams to deliver tailored solutions. Ensures regulatory compliance, manages risk, and reports on performance and client satisfaction while expanding revenue and maintaining strong long-term client partnerships.

Designs, develops, tests, and optimizes scalable machine learning and deep learning systems. Builds ML applications, algorithms, data pipelines, and decision-support tools; analyzes large historical datasets for predictions; transforms unstructured data through image tagging and speech processing; monitors models for drift and performance. Collaborates with analytics professionals to automate and scale repeatable solutions while applying risk management practices in a banking environment.

Partners with the CHRO and HR business leaders to design and implement strategic people initiatives for the Capital Markets line of business. Leads HR change management planning, organizational development efforts, strategic planning, stakeholder coordination, and implementation readiness. Provides recommendations using HR frameworks, analyzes data, tracks performance against priorities, manages risks, and supports leadership effectiveness and employee experience across complex initiatives.

Designs, develops, tests, and optimizes scalable machine learning and deep learning systems. Builds ML applications and algorithms, enhances data pipelines and lakes, analyzes large historical datasets, and converts unstructured data into useful information through image tagging and speech technologies. Monitors model performance, addresses drift, performs statistical analysis, and scales analytics solutions into decision-support tools while following banking risk-management policies.

Design, develop, and deploy production-grade Agentic AI systems, AI platforms, harnesses, and LLM applications for Capital Markets. Build multi-agent architectures, RAG and tool-calling workflows, evaluation frameworks, inference pipelines, and reusable AI services. Architect cloud-native solutions using microservices, APIs, containers, and distributed computing. Implement AI governance, security, observability, monitoring, and Responsible AI practices while partnering with stakeholders on AI strategy and enterprise adoption.

Designs, develops, tests, and optimizes scalable machine learning and deep learning systems. Builds ML applications, algorithms, tools, and data pipelines; converts unstructured data into useful information; analyzes historical data for predictions; and monitors model performance to prevent drift. The role also performs statistical analysis, scales repeatable analytics solutions, and collaborates with data and analytics professionals to support business decision-making.

Lead execution of enterprise compensation and total rewards programs, including the annual performance and compensation cycle. Manage cross-functional stakeholders, program delivery, reporting and dashboards, change management, vendor relationships, and process improvements to deliver consistent employee experiences and operational efficiency.