Financial Research Methods: Comprehensive Training Program

Learning how to conduct meaningful financial research isn't something you pick up overnight. Our program walks you through practical methods used by analysts across Canada—from data gathering to presenting findings that actually inform business decisions.

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16 weeks Structured learning with hands-on projects
6 modules Progressive skill development
Financial research analysts working with data visualization tools and market analysis reports

What You'll Actually Learn

We've built this curriculum around real research scenarios. Each module introduces techniques you'll use repeatedly, whether you're evaluating investment opportunities or preparing market intelligence reports.

01

Research Foundations & Data Sources

Start with the fundamentals—where financial data comes from, how to evaluate source reliability, and building efficient research workflows.

  • Primary vs. secondary data collection
  • Financial database navigation (Bloomberg, FactSet)
  • Regulatory filing analysis (SEDAR, SEC)
  • Setting up research tracking systems
02

Quantitative Analysis Techniques

Numbers tell stories, but you need to know which ones matter. This module covers statistical methods and financial modeling approaches that reveal meaningful patterns.

  • Ratio analysis and trend identification
  • Regression models for forecasting
  • Time-series analysis basics
  • Building comparable company frameworks
03

Qualitative Research Methods

Not everything shows up in spreadsheets. Learn to gather insights through interviews, assess management quality, and evaluate competitive positioning.

  • Expert interview techniques
  • Industry landscape mapping
  • Management assessment frameworks
  • Synthesizing non-quantitative information
04

Market & Economic Research

Context matters. Understand macroeconomic indicators, sector-specific dynamics, and how broader market conditions affect individual securities.

  • Economic indicator interpretation
  • Sector rotation analysis
  • Interest rate environment assessment
  • Currency impact evaluation
05

Risk Assessment & Scenario Planning

Good research acknowledges uncertainty. Build frameworks for identifying risks, stress-testing assumptions, and developing alternative scenarios.

  • Risk identification methodologies
  • Sensitivity analysis construction
  • Probability-weighted scenario modeling
  • Downside protection strategies
06

Research Communication & Reporting

Research only matters if people understand it. Learn to structure findings, create clear visualizations, and present recommendations that stakeholders can act on.

  • Investment thesis development
  • Data visualization best practices
  • Executive summary writing
  • Presentation delivery techniques

Who's Teaching This Program

We've brought together practitioners who've spent years doing this work—not just talking about it. They've all dealt with the frustrations of incomplete data, tight deadlines, and stakeholders who need clear answers.

Siobhan Kearney - Lead research instructor

Siobhan Kearney

Lead Instructor, Quantitative Methods

Siobhan spent twelve years as a buy-side analyst before transitioning to education. She's worked through three market cycles and has a particular talent for explaining complex statistical concepts without the usual jargon.

Dagmar Solberg - Qualitative research specialist

Dagmar Solberg

Senior Instructor, Qualitative Research

Dagmar's background includes equity research at a major Canadian bank and consulting work with pension funds. She brings real-world interview techniques and a pragmatic approach to information gathering.

Elspeth Drummond - Research communication expert

Elspeth Drummond

Instructor, Research Communication

After years writing investment research reports, Elspeth knows what makes analysis clear versus confusing. She'll help you present findings in ways that actually get read and understood by decision-makers.

Instructor leading interactive financial research workshop session

Upcoming Program Sessions

We run two cohorts per year with limited enrollment. Each session includes live instruction, project work, and feedback on your research outputs.

Autumn 2025 Cohort

Start Date: September 8, 2025
Duration: 16 weeks (part-time schedule)
Schedule: Tuesday & Thursday evenings, 6:30-9:00 PM MT
Application Closes: August 18, 2025

Winter 2026 Cohort

Start Date: January 12, 2026
Duration: 16 weeks (part-time schedule)
Schedule: Monday & Wednesday evenings, 6:30-9:00 PM MT
Application Opens: November 2025

Program Format & Delivery

All sessions are conducted live online with a mix of instruction, case study work, and peer discussion. You'll complete three major research projects throughout the program, receiving detailed feedback from instructors. We keep cohorts small—typically 18-22 participants—so you get meaningful interaction and guidance.

Inquire About Next Cohort