Top Tech Jobs & Startup Jobs in Montreal

Provide production support and system subject-matter expertise for personal insurance claims systems. Triage and resolve user system referrals, meet with regional teams, monitor trends, recommend training or system changes, test system updates, liaise between users and IT, and analyze business requirements for bug fixes and enhancements.

The Director, Generative Engine Optimization will lead the GEO function, shape content strategies for SEO, build partnerships, and enhance brand visibility in AI environments.

The Consultant, Actuarial will lead actuarial projects, coach analysts, and engage in complex problem-solving in various domains.

The Senior Analyst, Actuarial will drive innovation in actuarial science, build AI models, and resolve complex problems while guiding the team.

The Senior Analyst, Actuarial will resolve complex problems, improve work processes, and analyze data for recommendations in various actuarial projects.

The Senior Business Analyst collaborates with Finance teams for accurate cost allocation and enhances operational efficiency using Oracle tools, while engaging stakeholders and ensuring compliance with accounting standards.

Underwrite specialized agricultural insurance by assessing submissions, renewals and endorsements; recommend tailored solutions; advise and negotiate with brokers; develop broker relationships and business through visits and industry events; prepare competitive proposals; manage policy transactions and contribute to departmental growth and cross-sell opportunities.

Develop, test, debug, and maintain complex full-stack software components. Analyze system and coding needs, translate requirements into technical specifications, design solutions, write unit and integration tests, support regression testing, and resolve application issues. Review code and designs, provide level-one production support, and guide project team members to deliver high-quality software on schedule. GenAI development experience is an asset.

Develop and deliver AI-enabled software products, including MLOps platforms, workflow orchestrators, APIs, services, and user interfaces. Integrate AI solutions with insurance systems, collaborate with data scientists and IT teams, and ensure scalable, reliable, observable deployments. Apply CI/CD, agile practices, automated testing, cloud infrastructure, GenAI techniques, and data engineering. Mentor squad members, influence the technical roadmap, and help evolve AI and machine learning capabilities.

The role involves enhancing pricing sophistication, delivering actuarial support, improving processes, resolving complex problems, and guiding team efforts in pricing analysis.