Top Tech Jobs & Startup Jobs in Montreal

Lead end-to-end eDiscovery case management for high-risk litigation, regulatory, and internal investigations within Insider Risk Management. Oversee defensible data collection, processing, and delivery across diverse systems, partner with Legal/Compliance/HR/Corporate Security/Cybersecurity, drive process improvements and AI/automation adoption, mentor global team members, ensure governance and risk compliance, and manage prioritization and throughput. Montreal-based hybrid role requiring bilingual French/English and approximately six+ years' relevant experience.

Manage financial analytics delivery, enhance operational efficiency, partner on AI initiatives, develop scalable products, and report on service effectiveness.

As a Technical Lead in Cybersecurity Engineering, you'll develop security strategies, oversee programs, drive AI security practices, manage incidents, and report on performance metrics.

As a Java Developer, you will design and develop innovative solutions, take ownership of technology platforms, collaborate with business lines, and drive modernization efforts.

Lead architecture, design, and delivery of scalable cloud finance data and analytics platforms; manage and mentor an engineering team; implement full‑stack solutions (Java/Python, Angular/React); build data pipelines/ETL (preferably Snowflake); drive GenAI adoption, CI/CD, automated testing, governance, security, and cross‑functional stakeholder alignment.

The role involves designing and integrating Copilot features within Microsoft 365, managing connectors, providing technical support, and collaborating with teams.

As a Principal Java Developer, you will enhance the E-trading platform, automate processes, oversee projects, and leverage AI in a team environment.

As a Forward-Deployed AI Engineering Specialist, you'll design and deploy AI applications to enhance financial workflows, communicate with stakeholders, and lead projects from conception to execution.

Design, build, and operate data pipelines ingesting cyber event data for security analytics. Collaborate with security stakeholders to onboard sources, map and transform data, integrate cloud and on-prem systems, automate configuration, monitor and optimize pipeline performance, troubleshoot escalations, and maintain architecture and operational documentation.

The role involves developing pricing models in C++, enhancing credit risk data infrastructure, and collaborating with strategists to meet business requirements.