Senior Manager, Data Science - Anti-Money Laundering Modeling and Advanced Data Insights
Core
Lead the development, deployment, and monitoring of production machine learning models for Anti-Money Laundering (AML), fraud, and terrorist financing detection using advanced analytics on billions of customer records.
Role type
Senior Manager, Data Science (AML Modeling)
Builds
Predictive models, monitoring dashboards, and reporting for AML program operations
Domain
Financial Services / Anti-Money Laundering / Fraud Detection
Deliverable
production ML models
Required skills
Machine learning model development, statistical modeling, relational database management, open-source programming languages, large-scale data analysis, model validation and backtesting, clustering, classification, time series analysis, deep learning
Preferred skills
AWS experience, people management, Python/Scala/R for large-scale data analysis, AML modeling domain expertise
Technologies
AWS, Snowflake, Python, Spark, H2O, Conda
Responsibilities
Partner with cross-functional teams to deliver data products, build ML models through design to implementation phases, leverage technology stacks to reveal insights in numeric and textual data, translate technical complexity into business goals
Seniority
Senior, hands-on IC with leadership responsibilities