Remote Equity Research Data Engineer

Fiscal.ai; United States; Remote; USD 67,000 - 88,000; Full time

Benefits offered by this job

Equity

Job summary

Fiscal.ai is hiring an Equity Research Analyst to design data-driven investment insights by transforming public disclosures into structured, API-ready datasets. This remote Canada role blends finance acumen with data engineering to power institutional workflows and investor tools.

You will own the data capture and processing systems, define classification rules across jurisdictions, and work with our COO to ensure data integrity.

Qualifications

• 2-5 years across accounting, finance, investing, and/or data roles.
• Strong data and analysis skills with awareness of multiple accounting standards.
• CPA or CFA is an asset.

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.
• Deep understanding of finance and investing, and genuine excitement to build a data product for investors.
• CPA or CFA is an asset

Skills

Equity research

Financial analysis

Data modeling

Data quality

Education

CPA or CFA (asset)

Job description

Fiscal.ai is hiring an Equity Research Analyst to design data-driven investment insights by transforming public disclosures into structured, API-ready datasets. This remote Canada role blends finance acumen with data engineering to power institutional workflows and investor tools.

You will own the data capture and processing systems, define classification rules across jurisdictions, and work with our COO to ensure data integrity.