Equity Research Analyst
At a glance
Mid-level Investment & Corporate Development role at Fiscal.ai. Remote, Canada · full-time · CA$95,000–CA$125,000 base.
financeroles summary, based on the employer's posting.
What you'll do
- Create and upkeep frameworks for sorting public-company disclosures across different jurisdictions
- Turn unstructured disclosures into consistent datasets people can query by writing and refining transformation rules
- Study disclosure rules in new markets and incorporate local differences into the data model
- Use LLMs to develop and test prompts, then adjust the logic based on results
- Work with QA and engineering to check data accuracy, resolve edge cases and choose coverage priorities
What you bring
- Two to five years in accounting, finance, investing or data-related work
- A strong grasp of finance and investing, with the motivation to build data products for investors
- Analytical strength and familiarity with multiple accounting standards and jurisdictions
Who this fits
You'll suit work that calls for independent ownership, clear communication and comfort navigating ambiguity. The role is remote within Canada and is a full-time employee position.
From the employer
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