Compliance Role - Model Validation

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.