I need a seasoned analyst to dive into a large-scale finance dataset and extract actionable insights through rigorous statistical methods. The core of the job is classic statistics—descriptive summaries, hypothesis testing, regressions, correlations, variance analysis—rather than machine-learning black boxes. I will supply raw transactional and market data as CSV files; you deliver clean, well-commented scripts (Python, R, or SAS are all fine), a concise technical report that walks through your methodology, and clear visualisations that a non-technical stakeholder can understand. To keep us aligned, here is how I’ll sign off on the work: • Code runs end-to-end on my machine with a single command. • Every chart or table in the report is reproducible from that code. • Findings are tied directly to business questions I provide at kickoff—no generic boilerplate. If you have a track record in finance and can turn numbers into decisions quickly, let’s get started.