Summer Internship Graduate Leadership Program, Commercial Banking

Location: New York Solve complex problems requiring analysis of multiple variables and consultation with multiple stakeholders Lead projects with moderate to complex risk and resource requirements Lead end-to-end processes or functional programs Build stakeholder alignment and provide process and subject matter advice Apply best practices to implement process, product, or service improvements Act as a subject matter expert and contribute to setting standards Use advanced methods to develop new solutions and recommend operating standards Complete business objectives established with leadership at the start of the program Develop detailed, accurate, and timely research and reporting with insightful commentary Conduct internal and external research projects and support presentations and communications Perform functional and organizational analysis, draw conclusions, make recommendations, and assess program effectiveness Identify and implement process improvements to automate and streamline analysis and decisions Represent the business in cross-functional and cross-product working groups, projects, and forums Work with business partners on strategic initiatives Liaise between internal stakeholders and external advisors Manage and prioritize multiple projects with discretion and confidentiality Advise senior management and influence decisions Address escalated customer or client inquiries when required Manage risks, compliance, governance, controls, and remediation plans Monitor service, productivity, and efficiency and implement continuous improvements Maintain relationships across business lines, corporate functions, and control functions Keep abreast of emerging issues, trends, and regulatory developments Participate as a subject matter expert in enterprise initiatives Support a positive, innovative, equitable, and collaborative team environment Provide thought leadership and transfer knowledge Participate in performance management, development, and cross-training Mentor others and contribute to team capability development Act as a brand ambassador for TD and the business area

Requirements Pursuing a Graduate Degree in related field 5+ years of related experience Demonstrated leadership experience History of delivering strong results High aspirations and motivation for career progression to senior leadership roles Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Business, or a related field is preferred Advanced degree (MBA, Master's) is preferred Understanding of financial services Strong interest in applying artificial intelligence to Commercial Banking Foundational experience working with large and complex datasets

Experience with data preparation, analysis, validation, pattern detection, issue identification, and insight generation

Experience using Excel, Alteryx, Power BI, Power Apps, Python, SQL, or related analytics and automation platforms Strong communication, documentation, problem-solving, and stakeholder engagement skills Ability to explain AI-enabled solutions clearly Ability to operate within data governance, privacy, security, model risk, and control expectations Familiarity with AI/ML frameworks Ability to work 40 hours Occasional domestic travel availability Core Competencies Demonstrates expertise in leading complex projects and stakeholder engagement while applying advanced analytical methods to drive process improvements and strategic initiatives. Proficient in managing risks and compliance within the financial services sector, with a strong focus on artificial intelligence applications. Highest-signal resume keywords Leadership

Experience Data Analysis Artificial Intelligence Application Stakeholder Engagement Process Improvement Hard Skills Data Preparation Data Validation Pattern Detection Insight Generation Excel Alteryx Power BI Power Apps Python SQL Soft Skills Strong Communication Problem-Solving Documentation Stakeholder Engagement Industry Keywords Financial Services Data Governance Privacy Security Model Risk Control Expectations AI/ML Frameworks #J-18808-Ljbffr