Jobs in Canada

Expo in Montreal

3 active opportunities · Updated October 2026

Explore current expo jobs in Montreal. Filter by work mode, employment type, experience, department, date posted and distance.

MR
📍 Montreal, Quebec, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

**English Version Below** Analyste débutant en opérations bancaires – Opérations hypothécaires et de prêts Lancez votre carrière dans les opérations bancaires et financières Si vous souhaitez bâtir une carrière dans le secteur bancaire, les services financiers et les opérations, cette occasion représente une excellente opportunité d’acquérir une expérience pratique dans le soutien aux activités de prêts hypothécaires, de gestion des prêts, d’opérations de financement et d’administration du crédit au sein d’un environnement mondial de services financiers. Ce poste est idéal pour les nouveaux diplômés et les professionnels en début de carrière qui sont analytiques, rigoureux et désireux de développer une expertise en opérations de prêt, gestion des risques, service à la clientèle et transactions financières. À propos de cette opportunité À titre d’ Analyste des opérations bancaires , vous soutiendrez les activités de financement hypothécaire de type warehouse lending ainsi que les opérations de gestion des prêts, tout en collaborant étroitement avec les parties prenantes internes, les clients, les dépositaires et les équipes opérationnelles. Vous jouerez un rôle important dans les activités de financement, de règlement, de rapprochement, de gestion des garanties, de surveillance des risques et de contrôle opérationnel. Ce poste offre une exposition complète au cycle de vie du crédit et constitue une excellente base pour une carrière à long terme dans les opérations bancaires, les services de crédit et les institutions financières. Principales responsabilités Soutenir les activités de financement hypothécaire de type warehouse lending , de gestion des prêts, de financement et de règlement. Traiter et rapprocher les transactions financières, les mouvements de trésorerie et les comptes d’attente ( suspense accounts ). Surveiller les risques opérationnels, enquêter sur les anomalies et escalader les problèmes au besoin. Maintenir des dossiers exacts et assur

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A
📍 Montreal, Quebec, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it works. This role combines breadth and depth: the ability to take a feature from front end to cloud deployment, together with strong expertise in at least one major AI platform — Google (Gemini), Anthropic (Claude), or OpenAI. You will work with direct client exposure, and you will support the professional development of the junior engineers around you. What You'll Do Build Full-Stack AI Applications, End to End You will build AI products across the entire stack, from interface to infrastructure. Develop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node. Implement a

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A
📍 Montreal, Quebec, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About Artefact Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works. This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the ability to deliver end to end. Beyond your platform specialization, you will be expected to work confidently across the full delivery lifecycle — full-stack development, data engineering, cloud infrastructure, evaluation, and client communication. You will work closely with our clients, with direct exposure from the start, and you will support the professional

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