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5 d agofound 4 d ago
Equity Research Analyst
What the posting is about
Design and maintain classification systems for financial disclosures. Transform unstructured data into structured datasets. Research new markets and map jurisdiction-specific nuances. Collaborate with QA and engineering to ensure data accuracy. Support R&D on new data capabilities.
Read out of the posting
Levelmid
Experience asked2+ years
EmploymentFull time
LocationToronto, Ontario, Canada
RemoteYes
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-30
Found viaworkable, direct from their system
We saw it 17 hours after it went up.
The posting, as the company wrote it
Employment: Full-time
Experience: Mid-Senior level
Education: Bachelor's Degree
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
Requirements
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
Benefits
Compensation: $95,000 - $125,000 CAD + Equity
Copied from Fiscal.ai’s own board, not rewritten. Original ↗
Also open at Fiscal.ai
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