Tools and skills: Microsoft 365 (Excel advanced, PowerPoint, Word; Visio a plus); data/analytics tools such as Alteryx; strong proficiency in Python and SQL for audit analytics, control testing automation, and evidence generation; experience with BI/visualization platforms (Tableau, Power BI), big-data/ML ecosystems (Databricks, Spark), and familiarity with AI-enabled surveillance/case management platforms; working knowledge of MLOps relevant to audit (versioning, change controls, monitoring, and drift management). Practical expertise in surveillance and control testing: scenario development, lexicon design/tuning, model calibration and threshold governance, alert QA, false positive reduction, coverage mapping, data quality controls, audit-readiness documentation, and runbook management; complemented by audit validation of ML models (feature engineering reviews, drift monitoring, performance thresholds, and explainability testing).