Top Python Jobs in Toronto

The role involves supporting derivatives trading operations, leading technical upgrades, providing L3 support, and designing risk metrics for equity derivatives.

The GenAI Engineer will design and maintain AI solutions, develop data pipelines, collaborate on GenAI projects, and deploy models in Azure environments.

The Engineer II will implement encryption in business applications, validate encryption impacts, and manage encryption technologies across various systems.

The Senior Engineer will lead technical upgrades, provide L3 support for pricing issues, and design risk metrics for equity derivatives. Responsibilities include end-to-end application delivery, development on the Sophis system, and performance scaling of analytics libraries.

Join our Data team as a Data Scientist, focusing on machine learning pipelines, NLP, and building AI-powered job solutions while mentoring colleagues.

As a Staff Software Developer, you will lead backend architecture, drive technical strategies for care subsystems, and mentor developers while overseeing complex automation projects.

The role involves leading quality assurance by automating tests, enhancing platform scalability, mentoring SDETs, and collaborating with engineering teams on a SaaS contract management platform.

The Associate Director, Analytics & Insights shapes data-driven strategies, overseeing analytics design and connecting insights to client needs for better decision-making in healthcare.

As a Business Intelligence Specialist, the role involves ensuring data quality, developing analytics tools, leading UAT, and stakeholder engagement for risk management initiatives.

The Data Engineer will architect and implement advanced analytics capabilities, manage data pipelines, and optimize data processing using AWS cloud and various analytical tools.

The Senior Business Analyst will lead and manage business requirements, analyze processes, support testing, and ensure regulatory compliance while driving continuous improvement in data operations.

The Cloud Engineering Manager oversees daily infrastructure operations, ensuring reliability and security of cloud systems while leading a team of engineers and collaborating on projects.

As a Data Analyst, you will create and optimize Power BI dashboards, perform data analysis using SQL and Python in an Azure environment, and utilize Generative AI tools for enhanced analytics. You'll partner with stakeholders to develop user-friendly insights and solutions that support decision-making and governance within the organization.

The analyst will ensure data quality and integrity by analyzing data, developing capabilities, conducting audits, and collaborating with teams to improve data processes.

The Data and Analytics Lead will enhance proprietary datasets, develop analytical models, manage data, and collaborate on business analysis within the Private Market Valuations team.

The Senior Actuarial Analyst will support reinsurance and reserving initiatives, contribute to reserve reporting and analyses, and lead projects while improving actuarial practices.

Design and implement Generative AI solutions for finance, develop chatbots, process data, and maintain AI models in production.

The Marketing Automation Manager will lead HubSpot initiatives, including campaign management, workflow optimization, and integrating with Salesforce, driving pipeline growth across multiple marketing functions.

The data engineer will design and manage Azure data pipelines, automate deployments, participate in Agile practices, and collaborate with various teams to support business analytical needs.

The role involves executing audit and advisory assignments, assessing risks, preparing audit reports, and leading junior staff while collaborating with senior leaders to enhance governance and risk management practices.

The Pipeline TD will design, develop, and maintain production tools and systems, support artists, and optimize workflows in VFX productions.

Work as a Senior Quality Engineer responsible for designing automated tests, collaborating with teams for testing strategy, and mentoring junior engineers. Engage with complex systems, integrate tests into CI/CD, and ensure high-quality standards.

The role involves managing a software engineering team, collaborating with product and design teams, and driving AI initiatives for contract management solutions.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

As an ASIC Methodology Engineer, you will enhance AI hardware development methodologies by leveraging automation and AI to improve efficiency and quality in the ASIC lifecycle.