Quant researchers and investment analysts need to complete the full research loop: data acquisition, factor construction and testing, backtesting, and writing up research conclusions.
Manually writing Python scripts and assembling data and backtesting pipelines with open-source frameworks or commercial quant platforms.
The loop is highly repetitive and code-heavy; data cleaning and factor iteration eat time that should go to real insight. This pain is inferred from the product's stated positioning and industry structure, not yet backed by direct user complaints.