QR Take-Home Data Project & Presentation

Mid-loop QR step: a take-home data project (often a modeling/backtest task on provided data) followed, if you pass, by a presentation round where interviewers drill into your approach, your pandas/time-series handling, and project decisions. Requirements A take-home data assessment given after the earlier technical rounds: analyze/model provided data (candidates report using approaches as simple as linear regression) and submit results. If you advance (often within ~2 days), a presentation round walks through the project in detail: interviewers ask pointed questions about your methodology, time-series handling, and pandas usage. Notes Turnaround to a decision/presentation invite is typically a couple of days, though some candidates wait longer. In the presentation, expect deep follow-ups on data manipulation specifics — candidates report being grilled on pandas syntax and time-series details, so know your own pipeline cold and be ready to defend modeling choices. The bar emphasizes clean reasoning and fluency with the tools as much as raw model performance. Preparation Build fluency with pandas and time-series workflows (resampling, rolling stats, returns, joins) so you can answer implementation questions without reaching for documentation. Prepare a tight narrative of your take-home: problem framing, why your model, validation, and limitations — and rehearse defending each decision.