COM-Business Compliance Associate/Senior Associate/AVP

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

Desirable:

• Established experience in compliance monitoring systems and models, particularly in AML and Market Surveillance domains
• Strong understanding of financial crime typologies and regulatory requirements
• Familiarity with major AML/Surveillance platforms (e.g., NICE Actimize, Nasdaq SMARTS)
• Knowledge of relevant regulations (e.g., MiFID II, MAR, BSA/AML requirements)
• Professional certifications in AML or Compliance (CAMS, FRM, etc.)
• Experience working with regulatory bodies or handling regulatory examinations