Financial Conduct Authority Data Scientist Interview Questions
The questions to prepare for a Financial Conduct Authority Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate three-day rolling average sales by region using aggregation, joins, and PostgreSQL window functions.
Identify whether a sudden grid dashboard metric drop reflects a real operational change, data-quality issue, or dashboard defect.
Define a meaningful engagement metric for a retail analytics mobile application and explain how to validate it.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Assesses model selection reasoning and understanding of algorithm trade-offs.
Evaluates significance testing under data constraints common in regulatory work.
Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.
Assesses experimental design in regulated environments and awareness of common pitfalls.
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Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.
Calculate each Hinge user's 30-day rolling average of daily interactions using CTEs and window functions.
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