Top Python Jobs in Toronto

The Exotics Rates Quant Director leads quantitative and analytical activities for interest rate exotics trading, enhancing multi-factor models and supporting traders and management with effective pricing and risk management tools.

As a Multimodal AI Engineer, you will develop AI interfaces integrating voice and visual technologies, manage complex workflows, and lead AI initiatives.

As an AI Engineer, you'll design and implement AI solutions, drive multi-agent systems, and provide technical leadership on high-impact initiatives.

Plan and execute internal audit and advisory engagements, evaluate risks and controls, lead SOX testing, produce clear findings and recommendations, leverage data analytics and automation, follow up on remediation, and coach junior staff while collaborating with senior stakeholders.

The role involves conducting audits, developing risk assessments, managing stakeholder expectations, utilizing analytics, and mentoring junior staff to improve governance and compliance.

Responsible for quantitative activities for interest rate trading desks, including developing methods for pricing deals, maintaining models, and assisting traders.

The Cloud Platform Engineer will develop high-scale cybersecurity observability platforms and automate data processing while ensuring reliability and performance across global operations.

The role involves translating actuarial problems into AI solutions, developing models, and collaborating with actuarial teams to build production-ready analytical tools.

The Senior Cloud Engineer will design and implement AKS clusters, automate maintenance tasks using Infrastructure-as-Code, collaborate with development teams, and ensure compliance with security standards.

The Applied AI Engineer will design and implement GenAI and ML solutions for Finance, ensuring effective integration and evaluation. Responsibilities include modeling, documentation, and collaboration with various teams for production readiness.

Provide database administration for Db2 and IMS, manage utilities, optimize SQL, ensure database performance, and assist with capacity planning.

The Data Analyst will analyze ecommerce data to support customer acquisition, retention, and provide insights for decision-making while collaborating with various teams.

Lead data governance practices in Wealth Management by driving data quality, collaborating with stakeholders, and supporting analytics efforts.

The Data Lead will manage data processes and systems for marketing technology, design storage models, ensure compliance with privacy policies, and guide marketing strategies based on data activation.

The analyst will develop business solutions, enhance data platforms, ensure data quality, collaborate across teams, and lead data initiatives, focusing on compliance with standards and governance in capital markets.

The Director of Portfolio Strategy and Optimization leads the design and execution of risk-aligned portfolio insights, overseeing analytics integration and scenario analysis while managing stakeholder relationships and compliance.

The Senior Staff Developer will create clean, modular code, mentor teams, engage in AI implementations, optimize workflows, manage CI/CD processes, and ensure software quality in a dynamic environment.

The Associate AI Enablement Developer drives AI adoption at Euna Solutions by leading automation initiatives, training users, and collaborating across teams to enhance operational efficiency.

Lead the design and scaling of Serve's robotics data infrastructure, managing the lifecycle of data and mentoring engineers to enable real-time analytics and operations.

As a Software Engineer in ML Infrastructure, you will develop scalable data pipelines, enhance data discovery, and collaborate with teams on data organization and ML features.

Develop and implement algorithms for robot navigation, troubleshoot issues in autonomy systems, collaborate on robotics solutions, and improve machine learning models.

Lead the adoption of Generative AI and Large Language Models in enterprise solutions, focusing on engineering, collaboration, and innovation. Engage with stakeholders, implement scalable AI systems, and drive cultural change and efficiency.

This role involves maintaining market data quality, building data pipelines, resolving anomalies, and developing validation scripts, focusing on trading risk data integrity.

The role involves developing enterprise-scale applications using Python and FastAPI, collaborating with teams to implement solutions, and managing application development within the Financial Services sector.

The Associate Data Scientist will design and evaluate applications using LLMs, conduct analysis for bias and alignment, develop dashboards, and collaborate on AI initiatives.