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Added 1 min ago
FH
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TU
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Data Analytics Associate, CIB Business Management

Toronto, ON, Canada

$81,600 - $115,200 CADThis role is eligible for a discretionary variable compensation award that considers business and individual performance. · Full-time

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Job details

Pay: $81,600 - $115,200 CADThis role is eligible for a discretionary variable compensation award that considers business and individual performance.
Job type: Full-time
Apply by: Nov 15, 2026
Experience: 3+ years of experience in data analytics, business intelligence, data science, analytics engineering, or a related analytical role.
Posting language: English
Posted: Oct 30, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Business Management, Strategy & Support

Pay Details:

$81,600 - $115,200 CADThis role is eligible for a discretionary variable compensation award that considers business and individual performance.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

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.

Who We Are:

TD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience. With more than 6,500 professionals operating out of 40 cities across the globe, we strive to make every interaction, product and experience remarkably human and refreshingly simple. 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.

Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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More about this job

Responsibilities

The associate will deliver business-led analytics, data science, and AI-powered solutions to improve performance and decision-making within Corporate & Investment Banking. They will also translate complex findings into executive-ready narratives and build strong relationships with senior stakeholders.

Requirements

Candidates must have 3+ years of experience in data analytics or a related field, along with advanced expertise in Power BI, SQL, and Python. Strong business judgment, executive storytelling skills, and experience with Databricks and GenAI solutions are also required.

Skills

Data analytics
Business intelligence
Data science
SQL
Python
Databricks
Power BI
Executive storytelling
Stakeholder management
GenAI
Performance optimization
Financial advisory
Data modeling
Automation
Strategic planning

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Data Analytics
Business Intelligence
Data Science
Corporate & Investment Banking
SQL
Python
Databricks
Power BI
GenAI
Performance Optimization
Executive Storytelling
Stakeholder Management
Financial Services
Capital Markets
Data Governance
Automation
Semantic Modeling
DAX
Agentic Workflows
Agile Delivery
RAROC
Client Coverage
Revenue Analysis
Profitability
Pipeline Performance
Operating Effectiveness
Data Engineering
Business Strategy
Risk Management
Transaction Banking

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