Data Analytics Associate - CIB Business Management

Role Summary:

Deliver business-led analytics, data science, and AI-powered solutions that help Corporate & Investment Banking improve performance, identify opportunities, and make better-informed decisions. 

The role combines analytical and technical capability with business judgment, executive storytelling, and strong stakeholder relationships. It focuses on understanding business objectives, structuring complex problems, identifying meaningful patterns and drivers, and translating analysis into clear recommendations for senior management.

Job Description:

The Associate will contribute to CIB performance optimization, with particular emphasis on cross-sell, client coverage, RAROC, coverage capacity, revenue and profitability, pipeline performance, and operating effectiveness.

TD Securities Corporate & Investment Banking provides financial advisory, capital-raising, liquidity, transaction banking, and risk-management solutions to corporate and institutional clients. 

This Associate role sits within the Corporate & Investment Banking Analytics team and uses data analysis, business intelligence, data science, automation, and AI-powered solutions to address CIB business priorities. The successful candidate will work directly with key bankers and senior management to understand objectives, identify performance opportunities, translate ambiguous questions into structured analysis, and develop practical recommendations. 

Business storytelling and relationship building are central to the role. The Associate will turn complex findings into concise, executive-ready narratives, present insights directly to senior stakeholders, and build trusted relationships that support ongoing dialogue, challenge, and action.

Job Responsibilities

1. Business Problem-Solving and Performance Optimization

• Develop a strong understanding of CIB businesses, products, clients, coverage models, performance drivers, and management priorities. 

• Translate business objectives and questions into structured analytical frameworks for performance measurement and opportunity identification. 

• Identify key drivers, relationships, anomalies, and opportunities for management attention or action. 

• Own analytical work end to end, from problem definition and validation through recommendation and executive presentation, while managing multiple priorities. 

2. Analytical Development and AI-Powered Solutions

• Prepare, transform, validate, and reconcile complex data from multiple sources using SQL, Python, Databricks, and related analytics platforms. 

• Develop reusable analytical components, business logic, data models, and measures that support scalable reporting and analysis. 

• Design and implement dashboards, analytical applications, and proof-of-concept solutions that address business problems and support decision-making. 

• Partner with Technology and control functions to design, integrate, and scale AI-powered solutions with appropriate governance and validation controls. 

3. Executive Storytelling and Stakeholder Engagement

• Translate complex analysis into clear, decision-oriented insights, recommendations, and business implications. 

• Develop executive-ready presentations, dashboards, visualizations, and commentary tailored to senior CIB audiences. 

• Present findings to senior stakeholders, respond effectively to challenge, and use feedback to refine analysis and recommendations. 

• Build trusted partnerships, challenge assumptions constructively, and communicate analytical conclusions in accessible business language. 

4. Data Quality, Governance and Scalable Analytics

• Define and document business logic, data sources, assumptions, calculations, and validation procedures to ensure transparency and trust in analytics. 

• Contribute to governed datasets, reusable analytical assets, semantic models, and standardized business definitions. 

• Partner with Finance, Risk, Technology, and control teams to ensure analytical solutions meet data, security, governance, and AI risk management standards.

• Support the long-term success of analytical solutions through effective handoffs, mentorship, and best-practice sharing

Job Requirements

Required

• 3+ years of experience in data analytics, business intelligence, data science, analytics engineering, or a related analytical role. 

• Strong business judgment and demonstrated ability to structure ambiguous questions into actionable analysis and recommendations. 

• Strong stakeholder management, executive storytelling, and presentation skills, with experience engaging senior business audiences. 

• Advanced Power BI expertise, including semantic modeling, DAX development, visualization best practices, and executive dashboard design. 

• Hands-on experience with Databricks and related data platforms, supported by strong SQL and Python skills for data engineering, modeling, and scalable analytics. 

• Hands-on experience designing GenAI solutions or agentic workflows, including orchestration, tool use, validation, and human-in-the-loop controls. 

• Ability to deliver practical, timely outcomes, manage multiple priorities independently, coordinate across stakeholders without formal authority, and explain technical concepts clearly. 

Nice to Have

• Experience in banking, capital markets, corporate and investment banking, or another financial-services environment. 

• Knowledge of CIB products, clients, coverage models, transaction economics, revenue and profitability, capital allocation, and RAROC. 

• Experience analyzing cross-sell, client coverage, coverage capacity, pipeline performance, productivity, or operating effectiveness. 

• Experience with production-grade enterprise AI solutions and Power Platform tools, including Power Apps and Power Automate. 

• Familiarity with enterprise data governance, lineage, access and model controls, responsible AI, Agile delivery, analytical product management, or data modernization.