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Review quantitative research outputs for accuracy and sound reasoning. Identify issues such as data processing errors, look-ahead bias or data leakage, factor definition errors, unreasonable model assumptions, overfitting, distorted backtests, weak statistical robustness, and overlooked risks.
Growth strategy and north star metrics for the US equities business, including but not limited to first-trade conversion, monthly active traders, AUM growth, etc., broken down into process metrics across the funnel
where relevant, develop issues and audit reports according to our internal reporting and issue disposition standards that are fully supported by the work done and require minimal feedback from reviewers.