Senior Analyst, Data Scientist - Compliance Strategy, Data Intelligence & Innovation
Core
Tuning sanctions screening and transaction monitoring scenarios to reduce false positives and improve detection in financial crime prevention.
Role type
Senior IC data scientist (compliance strategy)
Builds
Production-ready alert tuning scenarios and automated reporting for compliance teams
Domain
Payments / Financial Crime Prevention (AML/Sanctions)
Deliverable
production ML models | dashboards & analysis
Required skills
Python (pandas, NumPy, scikit-learn), SQL, statistical hypothesis testing, feature engineering, model performance monitoring, regulatory documentation
Preferred skills
AI/ML concepts in financial crime, Power BI/Excel, payments industry terminology
Technologies
Python, SQL, pandas, NumPy, scikit-learn, Power BI, Excel
Responsibilities
Tune and optimize sanctions screening and transaction monitoring scenarios; Design, test, and validate scenario risk indicators using transactional and behavioral data; Document insights across the scenario lifecycle for audit readiness; Monitor and assess scenario performance to ensure explainability; Prepare clear summaries of scenario performance and residual risk for leadership; Build reusable Python and SQL code for data analysis and automation; Support AI and advanced analytics work to prioritize alerts and reduce noise; Reconcile key fields and flag unusual patterns to improve data quality; Collaborate with investigators to reflect regulatory typologies in data analysis.
Seniority
Senior, hands-on IC