Alpha Research Process Interview Guide
Alpha research process interview guide covering hypothesis design, data checks, features, backtests, validation, costs, and monitoring.
Candidates discussing research workflow from idea to validation.
Start with a testable hypothesis
A good alpha process begins with a plausible reason the signal might predict returns, risk, flows, or relative value after costs.
Data checks come before modeling
Validate identifiers, timestamps, missingness, revisions, survivorship, and outliers before building features or running backtests.
Concrete example
For an analyst-revision signal, define announcement time, affected universe, expected horizon, portfolio rule, and how revisions are known historically.
Validation should be staged
Use simple baselines, holdouts, cross-period checks, cost assumptions, turnover analysis, and stress periods before trusting a backtest.
Common mistakes
Candidates often jump to model performance. Interviewers usually want the research controls that prevent false discoveries.
Practice the pattern
Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.