Fiscal AI

• This role will be joining our growing and talented engineering Team. As a fast-growing company, you will be building at the intersection of the AI and finance. • Building the Fiscal.ai Terminal product • Building the Fiscal.ai Financial Data infrastructure (and API product)

• 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

Position: Equity Research Analyst Location: Remote [Canada] Position Type: Employee [Full-Time] Salary Range: $95,000 - $105,000 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 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

Position: Equity Analyst (Contractor) Rate: $1,200 – $1,500 USD per month (₱70,000 – ₱90,000 PHP) Working Schedule: Monday–Friday, 9:00 AM – 5:00 PM EDT/EST Engagement Type: Independent Contractor 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 premiere financial data company in the AI era. Why should you be part of the Fiscal.ai growth story? Shape the future of AI in finance: You’ll sell a product that customers describe as faster, smarter, and more cost-effective than anything else in the market. 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. Position Overview As an Equity Analyst at Fiscal.ai (formerly Finchat.io), you will play a crucial role in analyzing and compiling public company financial data, maintaining our database, processing customer data requests, and assisting with new product initiatives related to our database. This position requires a strong background in finance and accounting, with a focus on financial reporting, financial analysis, and equity analysis. Key Responsibilities - Analyze and compile public company financial data. - Keep our database up to date on a quarterly reporting basis. - Process customer company or data requests efficiently. - Understand and update company data when financial reporting changes occur. - Assist in driving new Fiscal.ai data initiatives.

Job Title: Software Engineer: Full-Stack or Software Engineer: Full-Stack (Data) Salary: $100,000-$220,000 + equity options. Location: Remote with occasional in-person work in our co-working space in downtown Toronto. About Us Fiscal.ai (formerly FinChat) 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 premiere financial data company in the AI era. Brief Description of the Role: This role will be joining our growing and talented engineering Team. As a fast-growing company, you will be building at the intersection of the AI and finance. There are two main responsibilities of the engineering Team: - Building the Fiscal.ai Terminal product - Building the Fiscal.ai Financial Data infrastructure (and API product) Both require deep understanding of the full stack, LLMs and finance. If you think this is the perfect fit for you, we'd love to specifically hear why!

Job Title: Software Engineer: Full-Stack or Software Engineer: Full-Stack (Data) Salary: $100,000-$220,000 + equity options. Location: Remote with occasional in-person work in our co-working space in downtown Toronto. About Us Fiscal.ai (formerly FinChat) 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 premiere financial data company in the AI era. Brief Description of the Role: This role will be joining our growing and talented engineering Team. As a fast-growing company, you will be building at the intersection of the AI and finance. There are two main responsibilities of the engineering Team: - Building the Fiscal.ai Terminal product - Building the Fiscal.ai Financial Data infrastructure (and API product) Both require deep understanding of the full stack, LLMs and finance. If you think this is the perfect fit for you, we'd love to specifically hear why!

• Analyze and compile public company financial data. • Keep our database up to date on a quarterly reporting basis. • Process customer company or data requests efficiently. • Understand and update company data when financial reporting changes occur. • Assist in driving new Fiscal.ai data initiatives.