Join our team
Alphamatician is hiring a Web Scraping Engineer for an individual-contributor role at the heart of our data operations. The work is technical, operational, and quietly important: keeping a mature alternative-data product running reliably for institutional investors.
What You Will Do:
This is operational work with a steady rhythm. The reward is in keeping an important data product running well, and in being good at a specific kind of hard problem (scraping hard sites at scale) that few people are actually good at.
Hard Requirements:
Strong Plusses:
Scope:
This role focuses on day-to-day data collection, quality, and client-facing operations. It is not an architecture, modernization, or infrastructure-ownership role. If you want to redesign systems or own the stack, this is not the right fit. If you want to do excellent scraping work, solve real bugs, and own the daily craft of keeping a data product reliable, please apply.
How to Apply:
Your application must include:
Alphamatician is seeking an experienced Business Development professional to help expand our client base within the institutional investment community.
Key Responsibilities:
Requirements:
Details: Candidates based in the greater Boston or greater New York City areas are preferred. Remote candidates will be considered.
We are looking for a Data Analyst to support the operation and improvement of our web data collection and production systems. Our platform collects, cleans, and structures data from dozens of web sources daily, and this role is central to keeping that system running smoothly.
You will work directly with our data collection processes — setting up, monitoring, troubleshooting, and improving them. The ideal candidate is detail-oriented, technically curious, and comfortable taking ownership of problems in a small team.
Key Responsibilities:
Skill Requirements:
Education and Experience:
This role is remote and US-based.
Alphamatician offers internships across data collection, data quality, and engineering. Interns work directly with production datasets used by institutional investors, gaining hands-on experience with real-world data systems and alternative data.
Possible Focus Areas:
Requirements:
Details: Remote, US-based. Open to current students and recent graduates.