Top Tech Jobs & Startup Jobs in Montreal

Leads U.S. NAIC and tax valuation activities, including tax reserve deliverables, financial analysis, regulatory submissions, Asset Adequacy Testing, Actuarial Opinion Memoranda, and actuarial filings. Provides guidance on complex valuation and accounting matters, responds to regulatory and IRS inquiries, presents results to senior management, supports governance, and partners with AI teams to modernize valuation processes.

Provide regulatory and compliance guidance for Canadian pension and investment products: interpret legislation, assess business impact, review contracts/marketing/materials, lead digital transformation compliance, develop legislative tools, train business partners, and support reporting and internal policy maintenance.

Supports operational risk governance for Global Wealth and Asset Management. Responsibilities include analyzing risk exposure, preparing management and regulatory reporting, tracking mitigation actions and risk events, supporting risk and control assessments, change risk, third-party risk, business continuity, and key risk indicators. The role also coordinates with risk teams, challenges business conclusions, promotes risk culture, and handles ad hoc reporting and analysis.

Manages technology and cybersecurity standards governance within a second-line risk environment. Oversees standards lifecycle processes, risk and control initiatives, governance forums, reporting, issue remediation, and continuous process improvement. Partners with Technology, Cybersecurity, and Risk teams to ensure alignment with enterprise frameworks and regulatory expectations. Develops scalable workflows, documentation, dashboards, and oversight practices while coordinating cross-functional programs and challenging risk assessments.

Leads investor relations communications with institutional shareholders, equity analysts, senior management, and the Board. Oversees quarterly earnings materials, financial disclosures, shareholder engagement, investor marketing events, roadshows, conferences, market intelligence, and shareholder analysis. Builds external relationships, communicates company strategy and performance, manages vendors, improves IR processes, and supports special projects. The role requires strong financial markets knowledge, modeling, communication, judgment, organization, and relationship management skills.

Lead and deliver multi-year business continuity and operational resilience programs as a 2nd-line risk oversight function. Maintain standards, KRIs and controls; design tools and processes; perform oversight of BIA/BCP activities; engage stakeholders, develop strategy, provide training, and report resilience posture to senior management and risk committees.

Early-career data analyst supporting Manulife’s Data Office through data solutions, automation, AI-enabled applications, dashboards, pipelines, business analysis, and process improvement. The role involves translating business needs into requirements and scalable solutions, applying data governance, supporting testing and adoption, and collaborating with stakeholders across customer experience, analytics, and continuous improvement initiatives.

Lead definition, validation, and scaling of AI-enabled products by translating business needs into roadmaps, requirements, and measurable KPIs; coordinate cross-functional teams, progress proofs-of-concept to enterprise deployments, ensure Responsible AI and governance compliance, and drive adoption, change management, and value realization.

An 18-month early talent program role supporting financial services operations across multiple business units. Responsibilities include data mining, analysis and visualization, process assessment, root cause analysis, requirements documentation, stakeholder relationship management, presentations, change communication, and business recommendations. Depending on team placement, work may involve trade processing, reconciliation, reporting, onboarding, data management, vendor management, risk oversight, and dashboard creation.

Design, build, and scale agentic AI agents and multi-agent systems for enterprise use. Prototype and productionize solutions using LLMs, RAG, vector search, orchestration, and MLOps practices. Develop reusable platform components, integrate with enterprise systems, ensure observability, security, Responsible AI and governance, and collaborate with Product, Data Science, MLOps, Risk, and Platform teams to move solutions from prototype to scalable production.