Jobs at TD Bank

Conduct wealth management and investment strategies for high-net-worth clients, building client relationships and developing business plans to grow market share.

The Quality Engineer II role involves hands-on automation testing, leading test strategies, executing automated tests, and collaborating with development teams to ensure quality solutions in technology delivery.

Develop mortgage business through referral relationships and direct sales. Manage client relationships, perform sales activities using TD's sales systems, receive training, and meet commission targets while working a flexible mobile schedule.

The Developing Investment Advisor builds a client base of high-net-worth clients, develops wealth management strategies, and implements sales strategies for growth.

The Mobile Mortgage Specialist will develop new customer relationships, conduct sales calls, and provide exceptional customer service in mortgage sales. Training is provided to support sales development and relationship management.

As a Customer Experience Associate, you will handle financial transactions, understand customer needs, resolve concerns, and promote banking solutions while ensuring a positive experience.

Drive mortgage sales through business development and referral relationships (realtors, builders, planners). Manage own schedule, use TD sales tools, receive training and coaching, and earn commission-based compensation while providing excellent customer service and credit knowledge.

Perform AML, Sanctions/ABAC and financial crime investigations by collecting and analyzing case data, identifying patterns and anomalies, initiating and coordinating investigations, reviewing subpoenas, and working with law enforcement. Lead medium-scale project work streams, produce enterprise-level reporting and recommendations, deliver training, and ensure adherence to regulatory requirements and risk-management controls.

Investigate AML, sanctions/ABAC, and financial crime cases of moderate complexity. Collect and analyze case data, recommend account actions, adjudicate cases, coordinate with law enforcement, review subpoenas, provide training, lead medium-scale projects, and mentor/QA work for colleagues while ensuring regulatory compliance and risk management.

Design, build, and deploy scalable AI/ML solutions: end-to-end pipelines, fine-tune LLMs, production model deployment with CI/CD, serve models via microservices/APIs, monitor model performance, collaborate with data/cloud teams, and prototype/evaluate new AI frameworks using Python, SQL, Spark and MLOps tools.

Lead analysis and response to social engineering and phishing threats, perform malware triage for email-delivered threats, recommend control improvements, produce threat reporting, develop policies and playbooks, and participate in cross-functional security initiatives.

Design, develop, and maintain data models and complex ETL pipelines; support data acquisition/ingestion, lineage, governance, and metadata. Use Azure, Databricks, PySpark, Python, SQL, and ADF to resolve data issues, enable testing and deployments, advise stakeholders, and mentor team members.

Lead planning, elicitation, analysis, documentation and management of functional and non-functional system requirements. Collaborate with stakeholders to design future-state solutions, maintain requirements traceability, support testing and implementation, ensure quality, scalability and operational readiness, and provide technical leadership and mentorship for strategic initiatives.

Lead detection, investigation, and mitigation of customer-targeted social engineering threats (phishing, smishing, vishing, impersonation). Perform digital risk protection, threat actor analysis, complex reporting, playbook and control development, and cross-functional coordination with Fraud, Cyber Security, Legal, Brand Protection, and external partners to reduce customer exposure and strengthen defenses.

Designs, builds, and deploys production-ready analytics and ML solutions on cloud platforms. Creates automated data pipelines and curated datasets, analyzes large datasets for trends and optimization, embeds data quality and monitoring, partners cross-functionally, and communicates insights via dashboards and executive storytelling to improve sales/goaling performance and governance.

Lead transfer pricing and Net Interest Income measurement for Canadian and US retail products. Develop and maintain FTP methodologies, validate results, forecast margins, support product pricing and system enhancements, manage projects, prepare senior-management reporting, liaise with stakeholders, and ensure compliance with policies and standards.

Work as a backend Software Engineer building and maintaining microservices and APIs for customer-facing banking products. Participate in Agile Scrum teams, write high-quality code with unit and integration tests, perform debugging and root-cause analysis, follow secure coding practices, use source control, and contribute to documentation and team knowledge sharing.

Provide exceptional customer service in branch: complete routine financial transactions, resolve customer concerns, identify needs and open limited products, promote bank services, follow policies and escalate non-standard/high-risk issues, and support team development and process improvements.

Join Enterprise Project Finance to measure, validate, and track benefits of enterprise business cases. Build and improve dashboards and measurement tools, support data governance and analytics, identify trends, communicate insights, and partner with finance and project stakeholders to improve benefit measurement and reporting.

Provide exceptional customer service in-branch by completing routine financial transactions, resolving customer concerns, identifying needs and opening limited products. Support branch business objectives, follow policies and procedures, escalate complex or high-risk issues, participate in team development, and recommend process improvements while maintaining accuracy and regulatory compliance.