First VP, Regional Data Analytics, Group Compliance
Core
Building regional Anti-Financial Crime (AFC) analytical capabilities and deploying advanced AML/Fraud detection models for a global bank.
Role type
First VP, Regional Data Analytics (AFC/AML)
Builds
Production-ready AFC/AML models, rules, algorithms, and dashboards for regulatory compliance and fraud detection.
Domain
Financial Services / Anti-Money Laundering (AML) / Financial Crime Compliance
Deliverable
production ML models
Required skills
Advanced statistical modeling, machine learning techniques, big data analytics, data visualization, schema design, dimensional data modeling, model governance, Python, SQL, R, Hive, Spark, Impala, Hadoop
Preferred skills
Master's degree in quantitative field, experience scaling ML/AI models across multiple geographies, familiarity with regulatory recommendations for AML/AFC
Technologies
Python, R, SQL, Hive, Spark, Impala, Hadoop
Responsibilities
Design and implement advanced AML/Fraud detection models and rules; Create automated model deployment pipelines; Validate Group Compliance AFC/AML models; Liaise with stakeholders to assess data suitability for AFC models; Provide data perspective inputs for model narratives; Ensure seamless deployment of new AFC analytics solutions without disrupting production.
Seniority
Executive (First VP), hands-on IC with strategic oversight
