Top Tech Jobs & Startup Jobs in Toronto

The Solutions Implementation Manager will oversee successful project delivery, engage with clients, manage resources, mitigate risks, and ensure compliance, while fostering team collaboration.

The Technical Business Analyst will analyze stakeholder needs, develop functional specifications, gather requirements, lead testing, and guide junior analysts, ensuring alignment of technology solutions with business goals.

The Billing & Code Management Specialist processes billing and code activities, ensuring accuracy, resolving customer inquiries, and supporting various teams with billing instructions and reports.

The Pricing Manager drives pricing model evolution, conducts market analysis, collaborates with departments, and provides strategic pricing guidance. Requires strong analytical skills and leadership experience.

The Bilingual Technical Support handles escalated client inquiries regarding Equifax products online, offering troubleshooting and support via email, chat, and phone. This role includes gathering customer feedback for product enhancement and assisting new and existing staff with training on product knowledge.

As a Senior Revenue Accountant, you'll manage revenue accounting, lead finance projects, prepare reports, review sales contracts, and oversee multi-functional initiatives while ensuring compliance with accounting regulations.

The role involves designing and developing software applications using advanced technologies, managing project priorities, and collaborating with a global engineering team to improve Equifax solutions.

The role involves designing and developing machine learning solutions for fraud detection and prevention. Responsibilities include analyzing datasets, creating models, collaborating on projects, and communicating results effectively.

Lead the design and implementation of cloud-native solutions using GCP/AWS. Responsible for ensuring robust and scalable systems aligned with project goals.

As a Data Scientist, you will drive innovation in Data Science by developing analytical tools, creating new features from data, analyzing predictive power, and ensuring quality control in analytical outputs.