Top Tech Jobs & Startup Jobs in Toronto

Supports an 18-month brand integration and transition to Beneva by coordinating marketing, communications, content, stakeholder engagement, change management, launch planning, and digital brand activities. The role develops customer, broker, and employee communications, manages cross-functional workstreams and external agencies, prepares governance updates, and executes integrated marketing plans across websites, social media, email, and other channels.

Leads commercial auto underwriting integrity across IRCA, Fleet, and Garage lines. Responsibilities include technical file reviews, focused audits, underwriting referrals, audit reporting, coaching, training, guideline and wording updates, authority recommendations, regulatory support, complaint response, and collaboration with Product, Pricing, Claims, and Underwriting teams.

Leads data engineering and ML Ops strategy, infrastructure, pipelines, model deployment, monitoring, and optimization. Oversees data engineers, establishes data-centric practices, ensures scalable and secure systems, and partners with data scientists and cross-functional teams. Responsibilities include roadmap planning, team development, compliance, resource allocation, continuous improvement, and adoption of modern cloud, data engineering, and machine learning technologies.

Develop actuarial models and predictive analytics solutions, transform raw data into actionable insights, conduct actuarial research, perform key calculations, and communicate technical findings. Collaborate with Actuarial, Claims, and Underwriting teams while supporting junior colleagues and progressing toward an actuarial designation.

The Intermediate Actuarial Analyst transforms raw data into business insights, develops actuarial models, performs calculations, researches emerging techniques, and communicates findings to stakeholders. The role collaborates with Actuarial, Claims, and Underwriting teams while supporting predictive analytics initiatives and continued actuarial exam progress.

Develop actuarial models and predictive analytics, transform raw data into business insights, perform financial and regulatory calculations, conduct research, and collaborate with Actuarial, Claims, and Underwriting teams. The role supports actuarial development through hands-on projects, cross-functional collaboration, and ongoing professional exam progress.

Leads property and casualty insurance pricing analyses, rate development, predictive modeling, portfolio evaluation, and regulatory filing support. Develops and enhances GLMs, machine learning models, rating structures, and automated analytical processes using SQL, Python, R, Excel, and Earnix. Provides pricing recommendations, technical guidance, peer review, mentoring, and stakeholder communication while ensuring compliance with actuarial standards and regulatory requirements.