ExtractAlpha occasionally hires Quant Interns to support research and development across our alternative data and quantitative models. While we do not have an active opening at this time, we welcome applications from strong candidates and will reach out when an opportunity becomes available.
ExtractAlpha delivers data and signals across a wide variety of types, including sentiment, analyst forecasts, ESG, web data, stat arb, crowdsourced forecasts, and more; and our datasets and toolkits are growing rapidly.
What you’ll do
Assist with data analysis, signal research, and model testing
Work with large, unstructured datasets tied to financial markets
Support research documentation and validation efforts
Collaborate with the research team on live projects used by clients
What we’re looking for
Strong quantitative background (statistics, math, CS, economics, or related)
Experience with Python and data analysis tools
Curiosity about markets, data, and how signals are built
Ability to work independently and communicate clearly
Why ExtractAlpha
Real-world research, not academic busywork
Exposure to institutional-grade data products
Direct mentorship from experienced quants
Remote, flexible internship with meaningful impact