Position: Financial Data Architect
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 should you be part of the Fiscal.ai growth story?
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 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 an engineering 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
