Equity Research Analyst

Complete an AI-powered simulation and receive a verifiable proof-of-skills report.### 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 for capital markets. Combining a powerful research Terminal with modern APIs, Fiscal.ai is building the modern financial data company.

The firm has raised $13M in venture backing and is headquartered in Toronto, Canada. With thousands of customers and millions of end-users through their API offerings, Fiscal.ai is building the premier financial data company in the AI era.

Join a supportive, high-performing team:
We prioritize collaboration, inclusivity, and outcomes. No red tape, just impact.

Work directly with leadership:
No bureaucracy, just close access to the founding team.

Flexibility and growth:
We're remote-friendly and focused on outcomes. You'll have opportunities to grow into leadership or strategic roles.

Mission with momentum:
With strong traction and a growing customer base, this is a chance to ride the wave early.### 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### REQUIREMENTS:

Deep understanding of finance and investing, and genuine excitement to build a data product for investors2-5 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###

Location:

Remote [Canada]### Position Type:
Employee [Full-Time]### Salary Range: $95,000 - $125,000 CAD + Equity This role is classified under  — view the full career profile for typical tasks, skills, and outlook.### Required Skills Each SOP from Talantir's library is scored against this specific listing based on skill and tool overlap. According to SANS Institute (2024), candidates who can demonstrate SOP proficiency in interviews are 2.8× more likely to receive offers.

R…