Morgan Stanley
Global Financial Crime Screening Optimization & Governance Vice President
Dallas, Texas · On-site · Director · Full-time · Posted Oct 15, 2026
- Experience
- 7+ years.
About the job
Leads strategy, governance, and optimization of KYC risk-ranking and financial crime screening controls, using analytics and technology to improve detection, compliance, and operational effectiveness.
What you'll do
- Enhance and govern ECRR, Negative News Screening, and PEP screening controls; tune and optimize screening models.
- Use AI, machine learning, and analytics to improve detection, alert prioritization, and workflow automation.
- Set performance metrics and governance standards, and support regulatory reviews, audits, and management reporting.
What they ask for
- 7+ years of experience in AML, KYC, financial crime compliance, screening analytics, model governance, or risk management within financial services or consulting.
- Expertise in tuning, calibrating, optimizing, and governing screening models across adverse media, PEP, sanctions, and customer risk-rating programs.
- Advanced proficiency in SQL, Python, data analysis, and model performance measurement across large datasets.
- Deep understanding of AML, KYC, sanctions, adverse media, and PEP screening requirements and regulatory expectations.
Pay
USD 110000 to USD 162500 per year (base salary)
Tools
AI, machine learning, NLP, SQL, Python, Agile
AI focus
Applies AI, machine learning, NLP, and advanced analytics to strengthen screening, prioritize alerts, and automate workflows.
Model-written summary · the original posting is authoritative