Top Tech Jobs & Startup Jobs

Six-month software engineering internship developing and deploying enhancements for TD Securities’ valuation services and risk platforms. Responsibilities include Python data processing and API development, testing, troubleshooting, requirements gathering, deployment documentation, security coding, and application support. The intern will use technologies including FastAPI, Flask, Pytest, Plotly Dash, SQL Server, Azure, Jenkins, and Git while collaborating in an agile, cross-functional team.

Six-month technology internship supporting AI-native data platform engineering. The intern will help build AI agents, MCP integrations, RAG solutions, APIs, data pipelines, cloud-native services, governance controls, monitoring, and self-service data discovery tools. The role involves Java and Python development, Azure technologies, distributed data processing, testing, CI/CD, documentation, experimentation with emerging AI technologies, and collaboration with data, application, platform, and business teams.

Entry-level graduate role supporting the design and development of AI-ready data platforms. Responsibilities include building AI agents, MCP integrations, APIs, RAG solutions, data pipelines, cloud-native services, analytics tools, governance controls, monitoring, testing, and documentation. The role involves collaborating with data and platform teams, researching emerging AI technologies, and applying secure software engineering practices.

Processes deposits, withdrawals, bill payments, and other financial transactions accurately while following regulations and procedures. Assesses customer needs, recommends appropriate banking products and services, resolves concerns, escalates non-standard issues, and achieves assigned business goals. Builds positive customer relationships, supports team effectiveness, maintains accurate administrative processes, and identifies opportunities for operational improvement. Training and onboarding are provided.

Processes deposits, withdrawals, bill payments, and other financial transactions accurately and in compliance with procedures. Assesses customer needs, recommends suitable banking solutions, resolves concerns, escalates non-standard issues, promotes products, and achieves business objectives. Maintains confidentiality, supports team effectiveness, delivers positive customer experiences, and identifies operational improvements.

Ten-week Debt Capital Markets internship supporting desk analytics, daily activities, pricing, risk, strategy, and transaction execution. Interns will analyze financial markets and debt products, present findings, collaborate across teams, and receive technical training and mentorship. Candidates should demonstrate quantitative ability, financial markets interest, communication, teamwork, initiative, and technical proficiency in Excel, Python, or VBA. The role is based in Dublin and requires unrestricted UK or Ireland work authorization throughout the internship.

Develop and support enterprise SQL data warehouses, reporting models, data pipelines, ETL processes, and integration solutions. Optimize queries, stored procedures, indexes, and database performance; troubleshoot production issues and conduct root cause analysis. Collaborate with stakeholders and technical teams on reporting and analytics delivery. Contribute to cloud modernization, big data, automation, DevOps, CI/CD, automated testing, and AI-assisted development initiatives.

Participate in a 10-week Global Markets internship supporting front-office trading desks through analytics, desk activities, and projects involving equities, fixed income, and corporate risk solutions. Interns receive technical training, mentorship, and exposure to financial markets, pricing, risk, and strategy. Responsibilities include presenting findings, collaborating across teams, applying quantitative and analytical skills, and developing market knowledge in a fast-paced trading environment.

Conducts complex profitability and business analyses for consumer banking deposit products. Translates business needs into analytics requirements, generates actionable insights, builds financial models, and communicates findings through visualizations and presentations. Partners with business leaders, marketing teams, and analytics groups to identify growth opportunities, support strategic decisions, investigate data issues, and manage risk and governance requirements. The role also provides subject-matter expertise, stakeholder guidance, user training, and occasional mentorship.

Design, develop, deploy, and support secure enterprise integration capabilities for the Data Compass platform. Build Node.js services, REST APIs, metadata integrations, authentication and authorization solutions, automated tests, and CI/CD pipelines. Integrate with Collibra, PostgreSQL, and enterprise services while troubleshooting production issues. Collaborate across architecture, product, security, and platform teams, and use AI-assisted development tools to improve delivery, testing, documentation, code quality, and developer productivity.