Jobs at Caisse de dépôt et placement du Québec (CDPQ)

Développer des plateformes et outils analytiques web pour le suivi et la gestion de portefeuille. Traduire les besoins des équipes financières en solutions avec Python, SQL et des technologies modernes de données, tout en exploitant l’IA et les architectures agentiques. Assurer les livraisons de bout en bout, du prototypage à la production, et favoriser l’autonomie des équipes d’investissement grâce à Databricks et d’autres plateformes analytiques.

Concevoir la vision des données TI et développer des plateformes de données robustes. Responsabilités : bâtir des flux ETL, définir des modèles de données, intégrer et gouverner des données, optimiser les performances, déployer des capacités d’analytique et d’apprentissage automatique, créer des solutions de visualisation et développer des applications et interfaces conversationnelles sécurisées.

Build and evolve an internal platform supporting development teams. Responsibilities include creating reusable abstractions, services, APIs, libraries, pipelines, and infrastructure; automating workflows; establishing technical standards; integrating technologies; enabling deployment, observability, and reliability; documenting solutions; and collaborating with development, operations, security, Scrum, and product teams.

Model financial and derivative products for valuation, risk, and performance systems. Develop quantitative models, sensitivity metrics such as Greeks and DV01, and validation controls for rates, volatility, credit, foreign exchange, equity, and exotic derivatives. Integrate products into Murex and related tools, document evaluation protocols, manage integration inventories, and collaborate with investment, risk, valuation, and performance teams. Present project progress, validate results, and recommend improvements using quantitative finance and technology best practices.

Administer and optimize SQL database environments across development, testing, and production. Ensure performance, capacity, security, reliability, deployment readiness, and production support. Serve as a technical advisor to application development teams, develop database functionality, optimize procedures and scripts, perform physical data modeling, and contribute to database platform modernization, migration, automation, and continuity initiatives.

Develops and maintains external partnerships for Espace CDPQ, monitors the venture capital ecosystem, supports strategic partnership initiatives, strengthens regional hubs, coordinates outreach and communications strategies, collaborates on events, tracks initiatives, reports to leadership, and represents the organization at industry events.

Lead the development, maintenance, support, and evolution of an advanced analytics platform hosted on AWS and Databricks. Responsibilities include developing AWS products with CloudFormation, building Azure DevOps delivery and integration pipelines, supporting production deployments, resolving incidents, collaborating with multidisciplinary IT teams, assisting investment teams, and promoting development best practices. The role also contributes to platform vision, solution design, peer reviews, agile planning, and operational support.

Développer des analyses, modèles, jeux de données, tableaux de bord Power BI et solutions d’IA agentique pour soutenir la Finance et les services d’entreprise. Transformer les données en recommandations actionnables, intégrer des sources structurées et non structurées, évaluer la fiabilité des sorties d’agents et documenter les solutions. Collaborer avec les équipes d’affaires, assurer la gouvernance, la traçabilité, la journalisation et l’industrialisation des solutions analytiques.

Supports international private investment transactions, leveraged buyout acquisitions, and portfolio company monitoring. Responsibilities include financial modeling, business and market analysis, reviewing financial statements, preparing investment recommendations and internal reports, conducting target-company research, and supporting discussions with internal and external partners.

Concevoir, développer et faire évoluer des solutions numériques et analytiques full-stack pour soutenir les opérations et la prise de décision. Agir comme référence technique et mentor, contribuer à l’architecture, appliquer les meilleures pratiques de développement, automatiser les déploiements DevSecOps et intégrer des outils d’intelligence artificielle. Conseiller les partenaires d’affaires, assurer la qualité, la performance et le soutien des solutions.

Contributes to quantitative equity-management research and strategy development through statistical analysis, algorithmic modeling, database and tool development, performance attribution, and market-risk analysis. Supports alpha strategy development by combining algorithmic and fundamental approaches, while monitoring macroeconomic and market conditions. Requires quantitative training, Python and SQL proficiency, understanding of market-risk measures and derivatives, and one to four years of relevant experience.

Designs, develops, and evolves business-process automation and digitalization solutions for enterprise services. Acts as a technical reference, leads stakeholder workshops, analyzes processes, and delivers solutions using Power Platform, AI agents, integrations, and APIs. Responsibilities include architecture, code reviews, deployment pipelines, governance, production support, observability, performance optimization, and technology enablement. The role also guides agent autonomy, human controls, fallback mechanisms, and applied AI implementations.

Designs, develops, operates, and scales a secure AI platform supporting model deployment, inference, monitoring, governance, and lifecycle management. The role provides cloud infrastructure and compute environments, integrates MLOps and LLMOps tooling, manages AI services, conducts technology evaluations, supports FinOps reporting, and collaborates with technology, security, architecture, and data science teams.

Conçoit, implante et fait évoluer le cadre FinOps de l’organisation. La personne titulaire établit les pratiques, la gouvernance, les indicateurs et l’outillage, tout en opérationnalisant la visibilité des coûts, le showback et l’optimisation continue. Elle conseille les équipes plateformes et produits, assure la qualité des données de coûts et soutient les décisions d’investissement technologique. Le rôle exige une expertise AWS, Azure et Cloud Cost Management, ainsi qu’une connaissance de Databricks, Snowflake et Datadog.

Partners with investment teams to translate business needs into digital and analytical solutions. Develops financial and economic data models, advanced analyses, econometric models, simulations, calculation libraries, and AI applications. Leads projects from prototyping through delivery, supports data governance, evolves the analytical ecosystem, and integrates solutions into portfolio decision-making processes. Requires strong Python and SQL skills, database and data-transformation expertise, quantitative knowledge, and six to nine years of relevant experience.

Develop and maintain scalable full-stack solutions supporting investment processes across the Maestro and Invest-O ecosystems. Serve as a technical reference, design architectures, collaborate with data and analytics teams, automate deployments and infrastructure through DevOps, support production solutions, and explore AI-enabled development. Advise investment-sector business partners, evaluate emerging technologies, and ensure integrated, secure, and user-focused digital solutions.

Contributes to the organizational resilience program, including business impact analyses, continuity plans, technology recovery procedures, incident and crisis management, resilience testing, training, reporting, and critical third-party resilience. The role also supports configuration of resilience tools, continuous process improvement, risk management, and automation within a hybrid technology environment.

Accompanies employees and teams in adopting Microsoft 365 and Copilot, develops training and communication materials, coordinates adoption initiatives, advises teams on new tools, and monitors developments in workplace technology and artificial intelligence. The role improves employee autonomy, productivity, and digital workplace practices through training, knowledge transfer, change support, and clear communication.

Develops and maintains digital and analytical solutions for private markets, contributing across the full software lifecycle. Responsibilities include application development, cloud environment configuration, DevOps automation, CI/CD pipelines, secure development, data ingestion and transformation, automated testing, observability, and daytime production support. The role collaborates with business partners, architects, designers, delivery teams, and managers to create reliable, maintainable, and user-focused solutions.

Supports organizational ethics and compliance initiatives, including interpreting codes and regulatory frameworks, conducting legal research, preparing opinions and training materials, assessing ethics risks, updating policies, and collaborating with legal and organizational teams. The role requires a Quebec law degree, Quebec Bar membership, and up to three years of relevant ethics, compliance, regulatory, or administrative law experience.