Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats
Core
Lead model development for Name List Screening (NLS) and Transaction Screening (TS) within a bank's control strategies team, focusing on designing, building, and deploying state-of-the-art models and optimizing incumbent strategies.
Role type
Senior IC machine learning team lead (financial crime screening)
Builds
Production ML models and LLM-as-judge evaluation frameworks for alert handling
Domain
Banking / Anti-Financial Crime / Machine Learning
Deliverable
production ML models
Required skills
Machine learning model development, Natural Language Processing (NLP), Large Language Model (LLM) evaluation frameworks, hyperparameter tuning, SQL, Python, Spark
Preferred skills
Experience in Anti-Financial Crime / Screening, feature engineering, model monitoring, stakeholder engagement
Technologies
Python, SQL, Spark, Large Language Models (LLM)
Responsibilities
Lead the model development team and set priorities, own end-to-end delivery of new challenger models, tune and optimize strategies for incumbent models, design and govern LLM-as-judge approaches, document model logic and test outcomes, partner with stakeholders to manage audit queries
Seniority
Senior, hands-on IC with leadership responsibilities