Equity Research Analyst

Fiscal AI; Toronto; On-site; CAD 125,000 - 150,000; Full time

Benefits offered by this job

Supportive, high‑performing team

Direct access to leadership

Remote flexibility

Opportunities for growth

Job summary

A leading financial data company is seeking an Equity Research Analyst to build a premier data product for investors. This remote role requires a strong finance background and 2-5 years of relevant experience. The successful candidate will design systems for transforming public disclosures into structured datasets and work closely with leadership on data capture systems. Join a fast-growing startup with opportunities for professional growth and leadership roles.

Qualifications

• 2-5 years experience in accounting, finance, investing, or data roles.
• Awareness of multiple accounting standards and jurisdictions.
• Self-directed and resourceful.

Responsibilities

• Design and maintain classification systems for financial disclosures.
• Build rules to transform unstructured data into datasets.
• Research disclosure requirements in new markets.

Skills

Deep understanding of finance and investing

Strong data and analysis skills

Curious systems thinker

Strong pattern recognition

Clear communicator

Education

CPA or CFA

Job description

Position: Equity Research Analyst

Location: Remote (Canada)

Position Type: Employee [Full-Time]

Salary Range: $125,000 - $150,000 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.

Why join us

• Supportive, high‑performing team: collaboration, inclusivity, and outcomes, no red tape.
• Work directly with leadership – close access to the founding team.
• Flexibility and growth: remote‑friendly with opportunities to grow into leadership or strategic roles.
• Mission with momentum: strong traction, growing customer base, 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 will 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 will work directly with our COO, taking full ownership of 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.