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, feature selection, model training and testing, natural language processing, network link analysis, distributed databases, rule-based modeling, supervised/unsupervised modeling
Preferred skills
Experience with large-scale analytics projects, familiarity with fraud/financial crime compliance risks, knowledge of cutting-edge data science developments
Technologies
Python, Pandas, Keras, Tensorflow, Sklearn, Hive, Spark, Impala
Responsibilities
Design and implement fraud detection models and dashboards; re-train and recalibrate existing models to prevent drift; develop model narratives and collaborate on end-to-end model development; support model governance including testing and bias assessment; identify enhancements to model governance policies
Seniority
Senior, hands-on IC
