Fiscal.ai

Equity Research Analyst

Posted 25 Days Ago

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Hiring Remotely in Toronto, ON, CAN

In-Office or Remote

95K-125K Annually

Mid level

Artificial Intelligence • Fintech • Payments • Software • Financial Services

The Role

Own the systems that transform public financial disclosures into structured, API-ready datasets for institutional investors. Responsibilities include designing classification systems, creating normalization rules, researching jurisdictional disclosure requirements, refining LLM prompts and logic, validating data accuracy with QA and engineering, prioritizing coverage opportunities, and supporting new data capabilities. The role requires strong finance and investing knowledge, data analysis skills, systems thinking, and comfort with ambiguity.

Summary Generated by Built In

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

Skills Required

Deep understanding of finance and investing
2-5 years of experience across accounting, finance, investing, and/or data roles
Strong data and analysis skills
Awareness of multiple accounting standards and jurisdictions
Strong pattern recognition and systems-thinking ability
Ability to connect concepts and work comfortably with ambiguity
Self-directed and resourceful work style
Clear communication skills
Interest in working at a fast-growing startup
CPA or CFA