Equity Research Analyst

Fiscal.ai

• $95K — $125K *
US-AnywhereRemote in Toronto, ON
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Deep understanding of finance and investing, with enthusiasm for building investor-focused data products
  • 2-5 years of experience in accounting, finance, investing, or data roles
  • Strong analytical abilities and knowledge of various accounting standards
  • Systems thinker with excellent pattern recognition and comfort with ambiguity
  • Self-motivated and resourceful, with effective communication skills
  • Interest in contributing to a fast-growing startup
  • CPA or CFA designation is a plus

Responsibilities

  • Design and maintain classification systems for public financial disclosures across different jurisdictions
  • Build transformation rules to convert unstructured data into normalized, queryable datasets
  • Research and map jurisdiction-specific disclosure requirements into the data model
  • Utilize large language models (LLMs) to refine data processing logic and prompts
  • Collaborate with QA and engineering teams to identify and validate data accuracy
  • Identify market coverage opportunities and rank them based on commercial relevance
  • Incorporate feedback to enhance system functionalities and support R&D for new data developments

Benefits

  • Equity participation in the company
  • Work remotely from anywhere in Canada
  • Opportunity to make a significant impact in a fast-growing startup environment
  • Collaboration with a leadership team on innovative data solutions
  • Access to continuous learning and skill development opportunities
Full Job Description
Position: Equity Research Analyst
Location: Remote [Canada]
Position Type: Employee [Full-Time]
Salary Range: $95,000 - $125,000 CAD + Equity


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

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