TD Securities

www.tdsecurities.com

33 Jobs

6,171 Employees

About the Company

As a leading corporate and investment bank, TD Securities offers a wide range of integrated capital markets products and services. Our corporate, government, and institutional clients choose us for our innovation, execution, and experience. With 7,000 professionals operating out of more than 30 cities across the globe, we help clients meet their needs today and prepare for tomorrow. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly-diverse equity research franchise, while growing our strong, diversified investment bank. We are growth-oriented, people-focused, and community-minded. As an integrated team, we work to deliver value for our clients every day. For relevant legal disclaimers, visit tdsecurities.com/ca/en/legal.

Listed Jobs

Company Name: TD Securities
Job Title: Data Science Intern/Co-op (SUMMER 2026)
Job Description: **Job Title** Data Science Intern / Co‑op (Summer 2026) **Role Summary** Provide analytical support by extracting, cleaning, and modeling large datasets to deliver actionable insights. Perform Python/SQL queries, spatial analysis, and build visualizations to inform business decisions and support the development and deployment of analytics solutions such as forecasting and optimization models. **Expectations** - Complete projects within a 15‑week Summer term. - Deliver clear, data‑driven recommendations to both technical and non‑technical stakeholders. - Participate in learning sessions on innovation, analytics and AI, and engage with TD leaders and peers. - Demonstrate progress in statistical analysis, programming, and data‑visualization skills. **Key Responsibilities** - Write and execute Python/SQL queries to assemble clean, feature‑engineered datasets. - Analyze spatially enabled data, identify trends, and prepare concise findings for business partners. - Develop and refine analytics models (forecasting, optimization, predictive) and support their testing and deployment. - Design and produce dashboards and visual reports using Tableau, PowerBI or similar tools. - Collaborate with business stakeholders to articulate problem statements, formulate data‑driven solutions, and present business case support. - Proactively identify opportunities for data‑driven improvements and propose actionable solutions. **Required Skills** - Strong statistical knowledge and analytical reasoning. - Proficiency in Python and SQL; familiarity with Azure, AWS, Databricks, R, or similar platforms is a plus. - Experience with spatial data and geospatial processing tools/platforms. - Ability to translate complex findings into clear, non‑technical narratives. - Effective verbal and written communication; collaborative teamwork. - Basic experience with GitHub for version control. **Required Education & Certifications** - Current enrollment in an undergraduate or graduate program (Computer Science, Mathematics, Engineering, Science, Statistics, Business Analytics, or related field). - Intent to resume studies immediately after the internship/Co‑op term. - No formal certifications required; coursework in statistics, data science, programming, or GIS is advantageous.

Company Name: TD Securities
Job Title: Software Engineer Intern/Co-op (Summer 2026)
Job Description: Job title: Software Engineer Intern/Co‑op (Summer 2026) Role Summary: Provide hands‑on software development support within TD’s Technology Group, contributing to platform improvements (core banking, customer servicing, engagement). Engage in the full SDLC, design enhancements, testing, and deployment while learning industry best practices through mentorship and leadership sessions. Expactations: - Complete a 14‑week internship co‑op program in Summer Term 3 - Deliver assigned development tasks on time and maintain code quality - Actively participate in team meetings, design reviews, and learning sessions (innovation, diversity, personal branding) Key Responsibilities: - Assist in prevention and resolution of incidents, documenting processes and root‑cause analysis - Gather detailed business requirements and translate them into technical specifications - Design, develop, test, and deploy system enhancements (unit and integration testing) - Document deployment plans and perform code deployments - Conduct Proof of Concept studies on emerging technologies and document findings - Troubleshoot application defects, debug, and ensure defect‑free releases - Apply SDLC and Project Management Methodology throughout development tasks - Adhere to secure coding practices and perform vulnerability reviews - Continuously update technical knowledge of leading‑edge technologies and TD services Required Skills: - Current enrollment in Computer Science, Engineering, IT, or related technology program - Strong foundation in Data Structures, Algorithms, OOP, and SOLID principles - Proficiency in at least one programming language (Java, C#, Python, JavaScript, or similar) - Experience with relational databases (SQL) - Familiarity with source‑code management (Git), issue tracking (Jira), and documentation (Confluence) - Exposure to cloud environments, web services (REST, SOAP), and SQL/NoSQL databases - Excellent coding, debugging, and problem‑solving abilities Required Education & Certifications: - Enrolled or recently graduated (≤ 3 months) with a bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent program. - No specific certifications required, but knowledge of SDLC, Agile, or DevOps practices is advantageous.

Company Name: TD Securities
Job Title: AI2 Software Engineer Co-op/Intern (SUMMER 2026)
Job Description: **Job Title** AI2 Software Engineer Co‑op/Intern (Summer 2026) **Role Summary** Assist in the development and maintenance of web applications, contributing to both front‑end and back‑end components. Works under senior engineers within an agile environment to expose interns to the full software development lifecycle, focusing on modern web frameworks and API services. **Expectations** - Complete training modules on TD Invent innovation practices. - Participate in code reviews, design discussions, and documentation. - Deliver functional features within sprint cycles. - Adhere to coding standards, quality, and security guidelines. **Key Responsibilities** - Develop and refine user interfaces with HTML5, CSS3, JavaScript, and Vue.js. - Design, build, and maintain RESTful APIs using Python and FastAPI. - Create and optimize database schemas, write efficient queries. - Integrate front‑end and back‑end components into cohesive applications. - Collaborate on architecture planning and technical specs. - Maintain up‑to‑date documentation for code, APIs, and system design. - Engage in continuous learning of emerging web technologies. **Required Skills** - Proficiency in HTML5, CSS3, JavaScript. - Experience with a front‑end framework (Vue.js) and a back‑end framework (FastAPI). - Knowledge of RESTful API design, creation, and consumption. - Familiarity with relational database design and query languages (SQL). - Version control using Git. - Problem‑solving, debugging, and analytical thinking. - Strong verbal and written communication. - Ability to work independently and within agile teams. **Required Education & Certifications** - Current enrollment in an undergraduate or graduate program in Computer Science, Software Engineering, or related field. - Coursework or projects demonstrating web development experience. - No mandatory professional certifications required.

Company Name: TD Securities
Job Title: Risk Management - Applied Machine Learning Scientist, Model Validation Intern/Co-op (Summer 2026)
Job Description: Job title: Risk Management – Applied Machine Learning Scientist, Model Validation Intern/Co‑op (Summer 2026) Role Summary: Co‑op intern tasked with independent review, testing, and challenge of AI/ML models, focusing on Generative, RAG, and Agentic AI systems used across the organization. Provides technical validation findings and recommendations to technical and non‑technical stakeholders. Expectations: - Complete a 6‑month work term (May 4–Aug 21 2026). - Provide rigorous model validation, documentation, and quality assurance. - Engage in continuous learning of LLM developments, evaluation metrics, and technology stacks. - Communicate outcomes clearly through technical reports and stakeholder briefings. Key Responsibilities: - Validate AI/ML models (Generative, RAG, Agentic, Deep Learning for tabular data). - Design and execute test cases, perform performance benchmarking, and assess model robustness. - Apply evaluation metrics and risk assessment criteria tailored to AI/ML use cases. - Maintain updated knowledge of LLM advancements, datasets, and publication insights. - Produce clean, well‑structured technical reports and present findings to engineering, compliance, and business teams. Required Skills: - Strong understanding of AI/ML methodologies: Generative AI, Agentic AI, Deep Learning, NLP, Transformers, RAG. - Proficient with deep learning frameworks and libraries (PyTorch, TensorFlow/Keras); experience with LangChain, LangGraph, HuggingFace. - Familiarity with Azure services (Databricks, MLFlow). - Advanced Python programming skills for model testing, data manipulation, and automation. - Excellent written and verbal communication; ability to translate complex technical concepts for non‑technical audiences. Required Education & Certifications: - Current enrollment in a Master’s program in Computer Science, Machine Learning, Engineering, Statistics, Mathematics, or a closely related field. - Commitment to return to study at the start of the work term. ---

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