Equity Research Analyst
- Remote, Canada
Remote
Full-time
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Job details
- Job type
- Full-time
- Workplace
- Remote
- Posting language
- English
- Posted
Original job description
Position: Equity Research Analyst Location: Remote [Canada] Position Type: Employee [Full-Time] Salary Range: $95,000 - $125,000 CAD + Equity
About Fiscal.ai
Fiscal.ai is a leading research and data platform built for capital markets professionals. Combining a high-performance research Terminal with a modern, near-real-time fundamentals API and MCP server, Fiscal.ai is redefining financial data infrastructure for the AI era. The company serves thousands of institutional and professional Clients while reaching millions of end-users through API Clients.
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
- 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
Compensation: $95,000 - $125,000 CAD + Equity
More about this job
Responsibilities
You will design and maintain classification systems for public financial disclosures while transforming unstructured data into normalized, queryable datasets. Additionally, you will collaborate with engineering and QA teams to validate data accuracy and refine logic using LLMs.
Requirements
The role requires 2-5 years of experience in accounting, finance, investing, or data-related fields with a strong understanding of financial markets. Candidates should possess excellent analytical skills, a curious mindset, and the ability to work effectively in a fast-growing startup environment.
Skills
- Equity Research
- Financial Analysis
- Data Modeling
- Accounting Standards
- LLM Prompting
- Data Transformation
- Financial Disclosures
- Systems Thinking
- Pattern Recognition
- Data Integrity
- Investment Analysis
- API Development
- Market Research
- Quality Assurance
- Data Normalization
Benefits
- Equity
Remote locations
- Canada
Remote locations (standardized)
- Canada
Visa sponsorship
Not detected in the job text
Categories
- Finance & Accounting
- Data & Analytics
- Technology
- Software
- Science & Research
Keywords
- Equity Research
- Financial Data
- API
- MCP Server
- Capital Markets
- Fundamental Data
- Public Disclosures
- Data Structures
- LLM
- Prompt Engineering
- Data Transformation
- Accounting Standards
- CPA
- CFA
- Startup
- Data Integrity
- Financial Modeling
- Investment Banking
- Asset Management
- Data Analysis