Top Python Jobs in Toronto

Supports energy and utilities consulting projects through data analysis, engineering reviews, economic modeling, energy simulations, market and policy research, field data collection, and technology strategy development. The Consultant creates client deliverables, identifies performance gaps and trends, develops recommendations, implements solutions, and communicates findings to clients and stakeholders. Work focuses on energy efficiency, renewable technologies, building and industrial energy systems, and sustainability strategies.

Leads fraud analytics, customer risk scoring, fraud technology, intelligence, risk assessments, and prevention strategy across banking products and channels. Develops detection models, monitoring frameworks, dashboards, and executive reporting; manages vendors and governance activities; partners with risk, compliance, technology, data, and operations teams; and builds a high-performing fraud analytics and risk management team.

Plans and executes manual, automated, functional, integration, regression, performance, load, security, and accessibility testing for complex enterprise systems. Develops test strategies, plans, scripts, cases, test data, and reports; tracks defects; validates databases and data migrations; integrates automation with CI/CD pipelines; and collaborates with developers, analysts, project managers, and business teams in Agile environments.

Develops and maintains automated QA solutions across UI, API, performance, database, system, and application testing. Identifies automation opportunities, designs test scripts and frameworks, investigates defects, documents quality issues, and collaborates with QA analysts, developers, stakeholders, and end users. The role requires expertise in automation tools, programming languages, CI/CD, version control, testing methodologies, and data-driven or hybrid frameworks.

Own digital marketing and ecommerce tracking, data pipelines, dashboards, and customer reporting. Analyze acquisition, retention, cohorts, CAC, LTV, unit economics, and forecasting. Partner with Growth, Media, CRM, Finance, Product, and Operations teams to ensure data accuracy, evaluate marketing performance, build revenue models, and translate complex analytics into actionable business insights.

Designs and maintains data models and structures within Guidewire Data Studio, develops ETL/ELT processes, improves data and query performance, and ensures data quality, integrity, traceability, and accessibility. Advises business teams and data users, supports platform administration and adoption, establishes data modeling and governance best practices, mentors colleagues, and contributes to modernization of data platforms and information systems.

Responsible for access reviews, attestation processes, audit and regulatory compliance, and identity-related risk reduction. The role supports IAM governance, certificate lifecycle management, security platform teams, internal clients, and audit teams. It requires analyzing access data with SQL, producing management reports, recommending security controls, and collaborating with technical and project teams. Experience with IAM tools such as SailPoint, Venafi, CyberArk, and ServiceNow is required or beneficial.

Leads enterprise platform engineering for Global Transaction Banking, combining hands-on development with architecture and executive communication. Designs and optimizes Kubernetes and container platforms across cloud environments, improves CI/CD reliability and security, and advances observability, resiliency, and platform standards. Conducts technical assessments, prototypes solutions, creates documentation, mentors engineers, and applies AI-assisted development and real-time AI capabilities using Azure and Kubernetes.

Leads the strategy, architecture, engineering roadmap, and operational excellence of TD’s Databricks-powered Global Transaction Banking data platform. Oversees distributed engineering teams building data products, APIs, streaming services, cloud applications, analytics, and AI capabilities. Establishes architecture, governance, security, reliability, DevSecOps, and delivery standards while managing budgets, vendors, risks, and transformation initiatives. Develops engineering leadership and technical talent across global teams in Toronto, New York, and Bangalore.

Build and operate full-stack software supporting Robinhood’s international expansion. Develop React and TypeScript interfaces, Go and Python backend services, localized onboarding, KYC/AML, multi-currency funding, trading experiences, growth systems, and internationalization platforms. Design distributed systems and APIs, ensure reliability and observability, lead technical delivery, and collaborate with product, design, compliance, legal, and platform teams.

Develop data science solutions for payments across Square and Cash App. Build AI-powered tools, ETL pipelines, dashboards, machine learning models, experiments, and cloud data systems. Partner with Product, Engineering, Finance, and Operations to improve payment success, cost efficiency, risk mitigation, and decision-making. Translate business needs into practical solutions, research questions independently, and operationalize data processes and infrastructure.

Design, develop, deploy, and operate enterprise AI, machine learning, and generative AI solutions on AWS. Build RAG pipelines, intelligent agents, serverless and containerized services, secure integrations, evaluation and monitoring systems, CI/CD pipelines, and infrastructure as code. Collaborate with architects, product owners, security teams, data engineers, and business stakeholders while providing production support, optimizing performance and cost, documenting architectures, and mentoring junior engineers.

Designs and refines generative AI prompts, workflows, automations, and lightweight applications using tools such as Microsoft Copilot and Power Platform. Partners with stakeholders to develop AI solutions, prototypes, reporting, and process improvements. Monitors performance, supports responsible AI governance, creates documentation and training materials, and promotes adoption. Requires 2–5 years of relevant experience, familiarity with LLMs and AI platforms, strong analytical and communication skills, and the ability to work independently through ambiguity.

Executes revenue data reconciliations across financial systems and data platforms, investigates variances, validates data quality, and supports recurring pipelines. Uses SQL and Python for data extraction, transformation, automation, and troubleshooting. Develops operational reporting, documents data flows and reconciliation procedures, improves processes, and collaborates with finance, business, engineering, and analytics stakeholders to resolve data issues and enhance Commercial Banking data infrastructure.

Build and operate production software, cloud infrastructure, developer platforms, CI/CD pipelines, reusable tooling, and automated guardrails. The role spans AWS, Kubernetes, infrastructure as code, security, observability, reliability, and developer experience. It also evaluates AI-assisted development and agentic workflows while providing technical leadership across engineering, infrastructure, security, architecture, and product teams.

Designs and delivers statistical analyses, predictive models, and fraud-monitoring strategies using SAS, SQL, Alteryx, and Python. Analyzes fraud trends, evaluates detection rules, develops algorithms, conducts feasibility and cost-benefit studies, and supports deployment of fraud solutions. Collaborates with stakeholders to communicate insights and continuously improve fraud prevention while reducing losses and client impact.

Own the technical roadmap and architecture for enterprise IAM centered on Okta. Design identity lifecycle, governance, authentication, provisioning, and access-control solutions; build integrations and automation using APIs, scripting, Terraform, and Okta Workflows. Improve onboarding, role changes, offboarding, audit controls, and operational resilience while supporting SOX compliance. Lead complex cross-functional initiatives, resolve escalated identity issues, establish engineering standards, and mentor engineers.

Build and maintain Cohere’s user-facing Dashboard across browser and server environments. Responsibilities include developing resilient, mission-critical systems, crafting intuitive product experiences, collaborating with engineers and stakeholders, removing technical roadblocks, documenting designs, and adopting technologies that improve performance and reliability.

Leads the design, development, evaluation, and production deployment of large-scale search and information retrieval systems. Responsibilities include indexing and ingestion pipelines, traditional and LLM-based ranking, semantic and hybrid retrieval, query understanding, relevance evaluation, search infrastructure, and retrieval optimization. The role partners with engineering and product teams, advises leadership on search and AI strategy, develops self-service search platforms, publishes research, and mentors applied scientists and machine learning practitioners.

Performs claims analysis, develops analytic tools, identifies trends and opportunities, and delivers reporting on claims frequency, severity, and expenses. The role oversees analyses from initial demand through reporting and presentation, communicates insights to executives and partners, and manages stakeholder relationships. Candidates need an actuarial science degree, at least two years of relevant experience, progress toward ACAS, general insurance experience, and strong SQL, Python, and R skills.

Designs and builds full-stack API platform capabilities, including developer portals, API sandboxes, SDKs, documentation tools, API gateways, MCP servers, and secure partner integrations. Responsibilities include API lifecycle management, versioning, authentication and authorization, rate limiting, access management, and high-performance routing. The role collaborates with product, developer experience, DevSecOps, security, and technical teams to deliver scalable, developer-friendly APIs and AI-ready integrations.

Performs daily trade operations, including trade capture, confirmation, settlement, reconciliation, DTCC balancing, and failed-trade resolution. Monitors processes and third-party services against SLAs and regulatory requirements, prepares reports, maintains stakeholder relationships, and identifies process improvements. The role requires trade settlement experience, strong analytical and organizational skills, and collaboration with traders, counterparties, vendors, and internal teams.

Monitors real-time trading activity, portfolio concentration, margin compliance, leverage, foreign exchange exposure, options risk, and proprietary positions. Issues margin calls, coordinates liquidations and cease trade restrictions, validates options processing, communicates risk alerts, supports extended trading hours, and performs ad hoc risk reporting and process optimization.

Leads a hands-on, globally distributed Joint Security Operations Centre across security operations, incident response, threat hunting, detection engineering, vulnerability management, DevSecOps, and threat intelligence. Oversees 24x7 monitoring, major incident response, regulatory reporting readiness, SIEM and security tooling, application security, fraud investigations, metrics, exercises, and team leadership. Partners with technical, compliance, legal, privacy, fraud, and executive stakeholders in a regulated financial services environment.

Owns and modernizes CI/CD pipelines for brokerage systems across C++, .NET, Node.js, Python, and Angular applications. Responsibilities include build optimization, artifact management, micro-frontend delivery, Apigee and GCP release automation, Terraform infrastructure, DevSecOps quality gates, AI-assisted code review, testing dashboards, compliance controls, and DORA metric improvement.