Top Tech Jobs & Startup Jobs in Toronto

Lead strategic credit risk initiatives to improve adjudication quality, data integrity, and oversight using analytics and AI tools. Partner with senior leaders, analytics teams, and business stakeholders to design automated controls, inform decision frameworks, and deliver executive-level recommendations that strengthen portfolio risk management.

Sell mortgage products and build a personal client book through referrals and networking. Develop relationships with realtors, builders, and financial planners, manage sales activities, and use TDprovided sales tools and training. Work autonomously as a mobile/home-office sales professional on a commission-based compensation plan with coaching and support from a Sales Manager.

Design, build, and deploy AI/ML solutions including data pipelines, model fine-tuning, and production deployment. Develop real-time model-serving microservices, implement monitoring for drift and performance, collaborate with data and DevOps teams, and prototype LLM and generative AI solutions using structured and unstructured data.

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

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

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.

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.

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.