Top Tech Jobs & Startup Jobs in Toronto

Lead a team of professionals in conducting investigations on financial crime risks, ensuring effective day-to-day operations, collaborating with stakeholders, and maintaining compliance with internal and external requirements.

Lead relationship management and business development for commercial clients, originate and structure credit and non-credit solutions, assess credit risk, ensure regulatory compliance, mentor team members, and meet profitability and sales targets while building market and industry expertise.

Lead design, development, and deployment of enterprise Salesforce solutions. Architect scalable Apex and LWC implementations, build integrations (REST/SOAP/Bulk), optimize data models and performance, mentor developers, enforce coding standards and security, participate in CI/CD and release planning, and troubleshoot complex production issues.

Lead and coach branch staff to deliver excellent customer experiences, manage scheduling and daily branch operations, resolve complaints, monitor workflows, maintain branch standards, and promote team development and compliance. Participate in mobility within the assigned district as part of a training-to-placement program.

Investigate financial crime risks including money laundering and terrorist financing. Analyze data, conduct investigations, and lead projects while collaborating with law enforcement.

The Data Engineer II will perform data engineering functions such as data modeling, ETL, and data quality management while collaborating with various teams and maintaining compliance with data standards.

The IT Data Specialist provides technical leadership in data analysis including data modeling, ETL, reporting design, and ensures data quality management, collaborating with business and technology partners.

The Mobile Mortgage Specialist will focus on business development, building customer relationships, and driving sales for mortgage products through various channels.

Lead end-to-end analytics for business decisions using data insights and AI/ML. Collaborate with cross-functional teams to build scalable solutions and drive advanced analytics adoption, delivering actionable insights and compelling visualizations.

Lead design and hands-on development of a Kubernetes-based, cloud-native GTB platform. Build, harden, and prototype containerized solutions; improve CI/CD, observability, and IaC; run architecture reviews, POCs, and present technical strategy to stakeholders while mentoring engineers.