Top Tech Jobs & Startup Jobs in Montreal

Lead integration and adoption of risk management frameworks for Individual Insurance, Savings and Retirement. Partner with stakeholders to identify, assess, and mitigate risks, develop monitoring indicators, prepare analyses and presentations for governance, and improve standards, processes, and tools to support informed decision-making and risk-aware business practices.

Design and recommend cost-optimized, secure cloud solutions; lead delivery team technical work and automation; analyze cloud usage and trends; implement FinOps practices for cost visibility, governance, and budgeting; support deployment via IaC and CI/CD; collaborate with analysts and architects to align solutions with business needs.

Develop and scale investment-focused analytical data products, including financial datasets, ETL/ELT pipelines, dbt models, semantic layers, Power BI reports, and Streamlit applications. Partner with investment teams to translate quantitative requirements into reliable, governed, cloud-native solutions. Own products throughout their lifecycle, implementing data quality controls, orchestration, monitoring, documentation, and operational support. Contribute to AI-ready datasets and analytics modernization across portfolio management, performance, risk, trading, and research workflows.

Build and support production-grade quantitative technology solutions for investment teams. Partner with quants, researchers, traders, and portfolio managers to translate analytical workflows into reusable Python software, data pipelines, libraries, and platform capabilities. Contribute to cloud-native development, AI-enabled workflows, orchestration, monitoring, data quality, deployment, incident resolution, and platform standardization. The role requires quantitative literacy, strong software engineering, collaboration, ownership, and experience supporting analytics or investment technology environments.

Design and implement learning strategies and competency development for contact centre transformation. Lead needs analysis, training design, knowledge management, assessment, change support, and continuous improvement across multidisciplinary teams.

As a Pricing Consultant, you will evaluate risks in life insurance, produce high-quality evaluations, negotiate with reinsurers, and provide strategic support to sales teams. You will also train stakeholders on advanced pricing philosophies and oversee financial analysis within pricing teams.

Lead client engagement and business development for institutional and advisor channels by translating investment strategy into client-ready materials, supporting RFPs/DDQs, delivering presentations and thought leadership, coordinating cross-functional execution, and maintaining reporting and content processes to deepen relationships and retain/grow assets.

Provide administrative, financial and accounting support: reconciliations, analyses, period-end tasks, reporting and dashboards; improve and document business processes; execute controls and contribute to automation and transformation projects.

Design, build, and maintain scalable ETL/ELT data pipelines and lakehouse architectures on GCP. Implement orchestration (Prefect), CI/CD, Terraform IaC, and DataOps practices. Collaborate with data scientists and product teams to enable analytics and AI while ensuring governance, security, and reliability.

Support and maintain Salesforce configurations (users, workflows, fields, dashboards, reports), ensure platform performance, define technical/functional specs, collaborate with integrators and PMs, configure interfaces, document solutions, and provide user training and updates.