Equity Research Analyst

Marapro; Toronto; Hybrid; CAD 95,000 - 125,000; Full time

Job summary

Fiscal.ai is seeking an Equity Research Analyst to transform public disclosures into structured, API-ready datasets powering institutional investing workflows. You will design data models, establish classification rules, and extend coverage across markets.

You will collaborate with leadership, QA, and engineering to ensure data integrity, accuracy, and timely delivery, while leveraging LLMs to refine prompts and improve data processing capabilities.

Qualifications

• Deep understanding of finance and investing.
• 2–5 years across accounting, finance, investing and/or data roles.
• Strong data and analysis skills with awareness of multiple accounting standards and jurisdictions.
• Curious systems thinker with ability to connect the dots and handle ambiguity.

Responsibilities

• Design and maintain classification systems for disclosures across jurisdictions.
• Build rules that transform unstructured data into normalized datasets.
• Research disclosure requirements in new markets and map nuances into data model.
• Work with LLMs to write/refine prompts and test logic.
• Partner with QA and engineering to validate data accuracy and handle edge cases.
• Identify coverage opportunities and prioritize based on commercial signal.
• Translate feedback into robust data systems and support product development.

Skills

Finance knowledge

Data analysis

Pattern recognition

Communication

Self-directed

Ambiguity tolerance

Education

CPA or CFA (asset)

Job description

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.aiFiscal.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 RoleIf 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 ResponsibilitiesDesign and maintain classification systems for public financial disclosures across jurisdictionsBuild rules that transform unstructured data into normalized, queryable datasetsResearch disclosure requirements in new markets and map jurisdiction-specific nuances into our data modelWork with LLMs to write and refine prompts, build and test logic, and iterate based on outputsPartner with QA and engineering to identify edge cases and validate data accuracyIdentify coverage opportunities and prioritize based on commercial signalTranslate internal and external feedback into strong systemsSupport 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 rolesStrong data and analysis skills with awareness of multiple accounting standards and jurisdictionsNaturally 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 + EquityThis role is classified under — view the full career profile for typical tasks, skills, and outlook.### Required SkillsEach 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. Rankings differ per listing because each company emphasizes different tools and skills.1SOP-00120%2SOP-00420%3SOP-0020%4SOP-0030%5SOP-0050%SOP alignment scores computed deterministically from skill/tool overlap — zero LLM costTalantir's readiness path covers 100% of this listing's requirements. CyberSeek (2025) reports that the average cybersecurity job listing requires 12 distinct technical skills — this listing requires 3.### Covered by Readiness Path (3)Systems AnalysisTime ManagementDesign### Skill Gaps (0)Requirements are aligned with the readiness path.Readiness match will appear here soon## How to Become a Marketing Coordinator — Country Readiness GuidesSee full readiness pathways, certifications, ESCO–O\*NET analysis, and visa requirements for this role by country.### We value your privacy### We value your privacy