Investment Analyst

CI Financial•Toronto, ON

4d•CA$115,000 - CA$140,000•Onsite

About The Position

The Financials equity research team is looking to add an Investment Analyst who can support fundamental investment research while also helping the team become more efficient and technology-enabled. The ideal candidate is a fundamental investor with strong technology fluency. They should understand stocks, financial statements, valuation, and capital markets, while also being naturally inclined to identify inefficient processes and improve them through better tools, data organization, automation, and AI-enabled workflows. The successful candidate will work closely with senior members of the Financials team and portfolio managers, supporting research across banks, insurance companies, asset managers, exchanges, fintech companies, and other financial institutions.

Requirements

1-3 years of experience in equity research, investment management, investment banking, capital markets, or related fields.
Strong interest in equity investing and security analysis.
Understanding of financial statements and valuation concepts.
Excellent analytical and communication skills.
Advanced Excel proficiency.
Demonstrated curiosity and desire to learn.

Nice To Haves

Interest in financial institutions and capital markets.
Progress toward the CFA designation.
Experience applying AI tools to research, data analysis, or workflow automation.
Familiarity with Bloomberg, FactSet, Capital IQ, or similar platforms.
Experience with Python, SQL, VBA, Power BI, or similar tools.

Responsibilities

Conduct industry and competitive analysis.
Build and maintain financial models and valuation frameworks.
Analyze quarterly earnings results and management commentary.
Assist in the development of investment recommendations and research reports.
Monitor company developments and identify potential investment opportunities.
Participate in meetings with company management teams and industry experts.
Support coverage of banks, insurance companies, asset managers, exchanges, fintech companies and other financial institutions.
Bring a technology-aware and improvement-oriented mindset to the research process.
Identify opportunities to make recurring research tasks, information gathering, and team workflows more efficient.
Use available technology, data tools, and AI-enabled capabilities thoughtfully to support analysis and productivity.
Contribute ideas for improving research organization, information retrieval, and collaboration across the team.
Partner with internal technology, data, and research-support resources to help assess and implement larger-scale solutions where appropriate.
Stay informed on relevant developments in data, analytics, automation, and AI that may have practical applications for investment research.