Lead Data Scientist, AML Analytics
Core
Develop and maintain AML/ATF Transaction Monitoring models and solutions to identify suspicious activity and elevated risk clients for a global banking program.
Role type
Lead Data Scientist (AML Analytics)
Builds
Production ML models and rule-based transaction monitoring solutions
Domain
Financial Services / Anti-Money Laundering (AML)
Deliverable
production ML models
Required skills
Python, Scala, Spark, SQL, Hive, Exploratory Data Analysis, Feature Development, Model Validation, AML Fundamentals
Preferred skills
Supervised/Unsupervised Learning, NLP, Financial Crime domain experience, Capital Markets/Wealth Management data
Technologies
Python, Scala, Spark, SQL, Hive, GitHub
Responsibilities
Develop and tune AML transaction monitoring ML and rule-based solutions; Create validation-ready model documentation adhering to Model Risk Management Standards; Collaborate with stakeholders to remediate risk exposure and implement monitoring solutions; Identify opportunities for new technologies in AML analytics.
Seniority
Senior, hands-on IC with leadership responsibilities