Top Tech Jobs & Startup Jobs

Leads BMO Capital Markets’ independent first-line control assurance function, setting strategy, methodology, annual planning, quality standards, governance, and reporting. Oversees risk-based testing across operational, regulatory, technology, data, third-party, and resilience controls. Advises executives, regulators, Internal Audit, and risk functions on material weaknesses and remediation, while building organizational capability, managing resources, and sponsoring automation and analytics improvements.

Leads risk-based business control assurance portfolios across Capital Markets. Oversees testing strategy, design and operating effectiveness assessments, evidence review, findings, remediation, reporting and audit readiness. Manages testers and resources, challenges conclusions, identifies systemic control weaknesses, and presents insights to senior stakeholders, risk partners, auditors and regulators. Requires strong knowledge of internal control frameworks, Capital Markets processes, non-financial risk and governance, risk and compliance platforms.

Designs, builds, and operates cloud-native infrastructure for AI and GenAI workloads across Azure and AWS. Responsibilities include GPU and Kubernetes platforms, networking, storage, model serving, RAG infrastructure, observability, CI/CD, infrastructure as code, security, compliance, reliability, and FinOps. The role defines AI infrastructure architecture and standards, leads solution design, operates platforms using SRE practices, creates reusable platform components, and mentors engineers.

Develop, configure, and support ServiceNow solutions focused on ITSM, AI, GRC/IRM, and enterprise workflow automation. Build workflows, integrations, scripts, applications, service catalog items, and intelligent automation using ServiceNow capabilities. Implement risk, compliance, audit, and vendor-risk solutions; optimize platform performance; support upgrades; and collaborate with architects, stakeholders, and security teams. The role also provides technical leadership, mentoring, documentation, and Agile delivery support.

Leads second-line oversight of enterprise regulatory compliance programs, including risk assessments, monitoring, testing, issue remediation, regulatory change management, governance, and executive reporting. Provides effective challenge to program owners, advises senior leaders on regulatory developments and risks, supports audits and examinations, and drives consistent policies, controls, documentation, and governance practices across the organization.

Leads enterprise compliance programs and regulatory governance frameworks, providing second-line oversight, risk assessments, monitoring, testing, effective challenge, issue remediation, and regulatory change management. Advises senior leaders and partners with business, legal, risk, HR, audit, and regulatory teams. Oversees programs involving Regulation W, conflicts of interest, employee activities, accessibility, and related enterprise requirements while preparing governance reporting and supporting examinations, audits, and regulatory inquiries.

Designs, builds, and operates secure, scalable cloud-native infrastructure for AI and generative AI workloads. Responsibilities include GPU and Kubernetes platforms, model serving, RAG infrastructure, APIs, microservices, networking, observability, CI/CD, infrastructure as code, security, compliance, and FinOps. The role defines AI cloud architecture and platform standards, leads solution design, operates systems using SRE practices, and mentors engineers. It requires extensive Azure or AWS experience, distributed cloud infrastructure expertise, and hands-on AI/ML platform engineering.

Provides personalized financial and investment planning advice, recommends managed products, develops client relationships, acquires new business, and supports sales and performance targets. The role conducts needs assessments, generates referrals, builds community relationships, responds to investment requests, and ensures regulatory compliance while delivering timely customer service. Financial Planners work independently, maintain knowledge of investment products and trends, and may serve customers across multiple branches and channels.

Analyzes large structured and unstructured datasets using machine learning, deep learning, data mining, and predictive modeling. Develops algorithms and prediction systems, identifies patterns and trends, evaluates AI/ML solutions, and delivers data-driven recommendations for business leaders. Collaborates with product teams and stakeholders on business planning and roadmaps while applying sound risk management practices.

Develops machine learning and deep learning models, analyzes large structured and unstructured datasets, identifies trends, and creates predictive solutions for business decisions. The role assesses AI/ML feasibility, builds data processes and prediction systems, provides analytical recommendations, collaborates with product teams and stakeholders, and supports innovative data strategies while following the bank’s risk management framework.