Senior Analyst, AML Analytics
You will design and develop advanced AML monitoring models, optimise detection controls using statistical methods, and implement risk-based member segmentation. You will translate AML typologies and risk policies into monitoring logic, maintain audit-ready model documentation, and identify innovations for the AML Analytics roadmap.
Responsibilities
- Design and develop behaviour-based AML monitoring models
- Optimise detection controls and operational productivity
- Develop member segmentation strategies
- Translate AML typologies and risk policies into monitoring logic
- Create and maintain audit-ready technical documentation
- Identify and champion innovation opportunities for AML analytics
Requirements
- At least 4 years of experience in data analytics
- Experience in financial crime or risk management is preferred
- High proficiency in SQL and Python
- Hands-on experience with Pandas and PySpark
- Experience applying optimisation algorithms and statistical methods
- Ability to translate AML typologies and risk policies into monitoring logic
- Understanding of financial crime regulatory frameworks
- Ability to explain technical and statistical concepts to technical and non-technical stakeholders
Benefits
- Competitive compensation and share options
- Generous annual leave
- Paid maternity, paternity, and adoption leave
- Paid and unpaid sabbatical options
- Private family health insurance with additional OPD coverage and top-up options
- Life and accident insurance
- Therapy sessions, courses, meditations, and workshops
- Paid volunteering and development days
- Annual learning and development budget
- Work from abroad for up to 90 days annually
- Home office setup contribution
- Laptop ownership and replacement program
- Office snacks, coffee, tea, and lunch