Fiscal.ai Logo

Fiscal.ai

Equity Research Analyst

Posted Yesterday
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Toronto, ON
95K-125K Annually
Mid level
In-Office or Remote
Hiring Remotely in Toronto, ON
95K-125K Annually
Mid level
Own the systems that transform public financial disclosures into structured, API-ready datasets for institutional investors. Responsibilities include designing classification systems, creating normalization rules, researching jurisdictional disclosure requirements, refining LLM prompts and logic, validating data accuracy with QA and engineering, prioritizing coverage opportunities, and supporting new data capabilities. The role requires strong finance and investing knowledge, data analysis skills, systems thinking, and comfort with ambiguity.
The summary above was generated by AI

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

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

Similar Jobs

One Month Ago
In-Office or Remote
2 Locations
Mid level
Mid level
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
Support development of tokenized equity products by conducting due diligence, building financial and commercial models, performing market and competitor research, preparing committee memos and presentations, tracking ECM activity, and owning research workstreams through transaction execution.
Top Skills: Digital AssetsTokenization
4 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
95K-125K Annually
Senior level
95K-125K Annually
Senior level
Artificial Intelligence • Marketing Tech • Software
Owns end-to-end administration, governance, analysis, and continuous improvement of monthly and quarterly incentive compensation programs. Responsibilities include commission calculations, payroll inputs, reconciliations, plan modeling and implementation, reporting, issue resolution, participant support, and process automation. Partners cross-functionally with Revenue Operations, Sales, Finance, Accounting, People, and Business Systems while maintaining accurate, scalable, and audit-ready compensation processes.
Top Skills: CaptivateiqGoogle SheetsExcelSalesforce
22 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Lead product vision and strategy for an end-to-end AI-powered software factory. Integrate planning, coding, review, and verification across GitLab Duo Agent Platform and product areas. Collaborate with engineering, design, and GTM teams, identify gaps and dependencies, present recommendations to executives, and drive execution to deliver cohesive developer workflows.
Top Skills: AIDevsecopsGitlabGitlab Duo Agent Platform

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account