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.
Brief Description of the Role:
This role will work on working on our proprietary data technology in both aggregation and distribution via API.
You will be hands on with financial data and the latest AI technology for our data API offerings.
Requirements
- You are a 10x engineer. If you're not sure, no need apply. You need to write good code, fast. We don't care about years of experience, we care about performance.
- Has 5+ years of strong experience in Data Development.
- Experience with data parsing.
- Experience with databases.
- Experience with python.
- Strong background working with and building APIs.
- Strong knowledge of handling structured and unstructured data.
- Proven experience or strong interest in investing and finance. Our platform is built by investors, for investors, so a solid understanding of investment concepts is essential, especially when working with advanced data and financial concepts.
- Bachelors or equivalent in Computer Science, Software Engineering. For some candidates, we may make exceptions ie) self-taught.
- Experience or interest in AI technologies, specifically Large Language Models (LLMs).
- Based in Canada.
Bonus:
- Experience growing a startup from zero to hero.
- React, Tailwind, Node, NextJS, Cloudflarem Firestore/Firebase, SQL
Tech Stack:
We work with a diverse set of tools and technologies, including:
- React, Tailwind, Node, Next.js
- Cloudflare, Firestore, Firebase, SQL.
Benefits
- Competetive salary
- Equity options
- Unlimited vacation
- Benefits (dental, massage, prescriptions, vision, etc.)
- Remote-first work
Job Title: Senior Software Engineer Data
Location: Remote with occasional in-person work in our co-working space in downtown Toronto.