Top Python Jobs in Toronto

The Director of Global Risk Data and Analytics leads the strategy and evolution of data products, ensuring quality and usability across risk functions while managing data governance and partnerships with technology leaders.

The role involves developing analytics and reporting solutions, managing stakeholder communication, and ensuring compliance with legal and regulatory standards in wealth reporting.

The Director leads reinsurance strategies and management, focusing on Pension Risk Transfer, oversight, in-force analytics, and governance compliance.

Lead development of liquidity and funding analytics, models and dashboards using big data and ML. Collaborate with treasury, design calculators and stress‑testing models, produce regular/ad‑hoc reports, mentor team members, and translate analysis into business recommendations to manage liquidity and funding risk.

Develop and implement analytical tools for trading decisions, support traders, maintain software, and ensure responsiveness of applications.

This role involves analyzing trade data for reporting, providing insights to senior executives, and building relationships across teams to enhance decision-making and profitability.

Lead the optimization and governance of retail credit strategies across consumer credit lifecycle, balancing growth, performance, and compliance. Provide analytical insights and strategic advisory to ensure effective risk management and portfolio outcomes.

The role involves managing the software development lifecycle, translating user requirements into code, and ensuring application security and performance. Responsibilities include software testing, maintenance, and using Agile methodologies.

The Lead Data Scientist will develop marketing mix models, automate data workflows, and communicate insights to enhance marketing effectiveness for clients.

As a Manager of Credit Risk Strategy Oversight, you will provide risk analytics and oversight for Canadian Retail lending, assessing proposals, monitoring portfolio performance, and enhancing credit decision-making.

The AI Engineer will design and develop enterprise-grade AI solutions, focusing on multi-agent workflows, integrating LLMs, and establishing observability for AI systems.

As a Data Engineer, you will design and implement scalable data pipelines, support AI solutions, optimize performance, and collaborate with stakeholders for data provisioning.

As an AI Engineer, you'll enhance BMO's digital-first initiatives by developing AI agents and automation solutions, driving operational efficiency and optimizing user experiences.

The IoT Software Implementation Manager leads the deployment of digital solutions, ensuring customer onboarding, configuration, training, and project success to enhance operational efficiency and customer satisfaction.

Design, build, and operate AI software systems, focusing on backend services and API integrations, working with machine learning engineers, ensuring security and compliance.

As an Associate Software Engineer, you'll contribute to various engineering pods, write production code early on, and build user-first software using modern technologies.

Join Jerry as a Software Engineer to impact car ownership experience using AI and modern technologies. You'll work on core app features and should possess a strong desire to learn and deliver quality software.

Develop and manage full stack big data applications, provide technical leadership, and collaborate with cross-functional teams to ensure integrated system processes.

Lead the development and support of data and AI products, translating business requirements, directing technical designs, and mentoring teams.

Design, deploy, and operationalize production-grade ML and agentic AI systems for financial crimes prevention. Build MLOps libraries, Copilot Studio agents and orchestration, translate models to scalable production implementations, and improve model monitoring and observability.

Lead pricing and analytics for Canadian Commercial Banking: deliver strategic insights to senior leaders, conduct deep-dive analyses on products and pricing, build scalable analytical solutions using SQL/Python, translate business needs into product requirements, and manage product launches in partnership with technology, sales, and operations.

Compile and maintain compliance data, build data models, support investigations and regulatory responses, produce internal/external reports, enhance automation and reporting tools, and advise the C&I team to manage regulatory risk.

The Senior Business Intelligence Analyst collaborates with stakeholders to deliver analytics solutions, manage risk, and ensure compliance using various data sources and visualization tools.

Provide L2/L3 operational support and reliability engineering for .NET/React/NodeJS microservices on Azure/AKS. Monitor with New Relic and ADX, troubleshoot incidents, automate processes, write SQL and scripts, participate in releases, mentor juniors, and provide rotational on-call support.

The Senior Full Stack Software Engineer is responsible for supporting production applications, troubleshooting complex issues, optimizing performance, and ensuring operational excellence through collaboration and automation of processes.