Vice President, Fraud Data Analytics, Group Compliance
Core
Building and maintaining fraud detection analytical models and capabilities to support financial crime compliance and regulatory obligations.
Role type
Senior IC data scientist (fraud analytics)
Builds
Production fraud detection models, rules, algorithms, and dashboards
Domain
Banking / Financial Crime Compliance
Deliverable
production ML models
Required skills
Python, machine learning, data wrangling, model development, regulatory risk analysis, stakeholder communication
Preferred skills
Natural language processing, network link analysis, big data tools (Hive, Spark, Impala)
Technologies
Python, Pandas, Keras, Tensorflow, Sklearn, Hive, Spark, Impala
Responsibilities
Design and implement fraud detection models and rules; re-train and recalibrate existing models to prevent drift; develop model narratives and documentation; support special high-priority projects related to fraud analytics; participate in model governance including testing and bias assessment.
Seniority
Senior, hands-on IC
