Equity Research Analyst

Fiscal.ai; Toronto; Remote; CAD 95,000 - 125,000; Full time

Job summary

Fiscal.ai is seeking an Equity Research Analyst to design and scale data products for capital markets. You will own the transformation of disclosures into structured datasets and drive coverage across jurisdictions, working closely with our COO and engineering teams.

You should bring 2-5 years in finance or data roles, strong analytical skills, and a startup mindset. CPA/CFA is a plus, and equity incentives accompany a remote Canada-wide role.

Qualifications

• 2-5 years across accounting, finance, investing, and/or data roles.
• Strong data and analysis skills with awareness of multiple accounting standards and jurisdictions.
• Naturally curious systems thinker with the ability to connect the dots and handle ambiguity.
• Self-directed, resourceful, and a clear communicator.
• Excited to work at a fast-growing startup.
• CPA or CFA is an asset.

Responsibilities

• Design and maintain classification systems for public financial disclosures across jurisdictions.
• Build rules that transform unstructured data into normalized, queryable datasets.
• Research disclosure requirements in new markets and map jurisdiction-specific nuances into our data model.
• Work with LLMs to write and refine prompts, build and test logic, and iterate based on outputs.
• Partner with QA and engineering to identify edge cases and validate data accuracy.
• Identify coverage opportunities and prioritize based on commercial signal.
• Translate internal and external feedback into strong systems.
• Support leading R&D on new data capabilities and product development.

Skills

Finance & investing knowledge

Data capabilities

Self-directed

Clear communicator

Ambiguity tolerance

Startup mindset

Education

CPA or CFA

Job description

Position: Equity Research Analyst
Location: Remote [Canada]
Position Type: Employee [Full-Time]
Salary Range: $95,000 - $125,000 CAD + Equity

About Fiscal.ai

Fiscal.ai is a leading research and data platform built for capital markets professionals. Combining a high-performance research Terminal with a modern, near-real-time fundamentals API and MCP server, Fiscal.ai is redefining financial data infrastructure for the AI era. The company serves thousands of institutional and professional Clients while reaching millions of end-users through API Clients.

About the Role

If you have strong financial and investing acumen and want to build a best-in-class fundamental data product, this is the role for you.

This is not a traditional finance role. You might come from equity research, investment banking, asset management, or an accounting background. What matters is that you understand how investors actually use fundamental data and you're excited to build the systems that deliver it.

You'll own the logic that transforms raw public disclosures into structured, API-ready datasets powering institutional finance and investing workflows. That means designing data structures, building transformation rules, expanding coverage across markets, and owning the integrity of everything we deliver.

You'll work directly with our COO, taking full ownership of our data capture and processing systems while maintaining the rigor our clients expect.

Key Responsibilities

• Design and maintain classification systems for public financial disclosures across jurisdictions
• Build rules that transform unstructured data into normalized, queryable datasets
• Research disclosure requirements in new markets and map jurisdiction-specific nuances into our data model
• Work with LLMs to write and refine prompts, build and test logic, and iterate based on outputs
• Partner with QA and engineering to identify edge cases and validate data accuracy
• Identify coverage opportunities and prioritize based on commercial signal
• Translate internal and external feedback into strong systems
• Support leading R&D on new data capabilities and product development

• Deep understanding of finance and investing, and genuine excitement to build a data product for investors
• 2-5 years across accounting, finance, investing, and/or data roles
• Strong data and analysis skills with awareness of multiple accounting standards and jurisdictions
• Naturally curious systems thinker with strong pattern recognition, ability to connect the dots, and comfort with ambiguity
• Self-directed, resourceful, and a clear communicator
• Excited to work at a fast-growing startup
• CPA or CFA is an asset

Compensation: $95,000 - $125,000 CAD + Equity