VP, Analytics and Automation, Group Compliance
Core
Develop and execute data science and AI/ML strategy for integrated surveillance to detect financial crime, AML, sanctions, and fraud.
Role type
VP, Analytics and Automation, Group Compliance
Builds
Risk signals, analytical features, detection models, and scalable analytical solutions for financial crime domains.
Domain
Financial services / Financial crime compliance / AI and Machine Learning
Deliverable
production ML models
Required skills
Data science strategy, AI/ML model development, feature engineering, model governance, financial crime typologies, regulatory compliance, Python, SQL, big data platforms (Hive, Spark, Impala), graph analytics, network analysis, GenAI applications, leadership, stakeholder engagement
Preferred skills
Master's degree, relevant professional certifications, experience with cloud-based analytics environments, responsible AI practices
Technologies
Python, SQL, Hive, Spark, Impala, cloud-based analytics environments
Responsibilities
Develop data science and AI/ML strategy for integrated surveillance; Design and deliver risk signals and detection models; Lead end-to-end model development and validation; Establish reusable risk indicators and analytical assets; Ensure model governance and performance management; Leverage AI to address emerging financial crime risks; Partner with data engineering and technology teams; Engage with compliance and business stakeholders; Drive production implementation and adoption of analytical capabilities; Provide technical leadership and mentor team members
Seniority
VP, strategic leadership & hands-on technical execution