Your question is Handling Messy Financial Data. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Describe how you ensure a SQL analysis is accurate when the underlying financial data is incomplete, duplicated, delayed, or inconsistent. Focus on how you inspect data quality, validate joins, handle missing values, and avoid producing misleading metrics.
In portfolio and recovery reporting, small data issues can materially change balances, liquidation rates, or payment trends. The interviewer is looking for a methodical SQL workflow, not just a generic statement about “cleaning the data.”