Overview
Essential:
– A strong graduate/postgraduate degree in a quantitative discipline (e.g., Engineering, Statistics, Computer Science, Mathematics) or equivalent experience
– Experience with natural language processing and unstructured data analysis
– Experience with Machine Learning and Artificially Intelligence ideally with Large Language Models and/or pattern recognition techniques
– Strong development skills, particularly in languages commonly used in compliance analytics (Python, R, SQL)
– Strong verbal and written communication skills, especially in explaining technical concepts to non-technical stakeholders
– Self-motivated work attitude with ability to work independently
– Experience in model validation or similar quality assurance roles
Key objectives critical to success:
Primary responsibility is to conduct validation of Compliance Models, including implementation tests and model risk analysis of all internal or vendor compliance models used within company Group.
– This includes independent model validations of AML transaction monitoring systems, customer risk rating models, trade surveillance models, communications surveillance models, and other compliance-related analytical tools.
– The role involves assessing these models from the viewpoint of regulatory compliance, effectiveness in detecting suspicious activities, and alignment with regulatory expectations and industry standards.