The role is responsible for maintaining and enhancing the Group's AML systems through data modelling and continual systems optimisation
Job Summary
The role is responsible for maintaining and enhancing the Group's AML systems through data modelling and continual systems optimisation.
You will lead analysis to recommend mitigating strategies for emerging financial crime trends while ensuring alert rates are optimised within risk appetite.
The team aims to be World Class in capability by building sustainable financial crime operations and providing support to ensure compliance.
Matching Summary
The role is responsible for maintaining and enhancing the Group's AML systems through data modelling and continual systems optimisation.
Skills & Requirements
Must-have
SAS SQL Python Teradata experience
Financial crime or risk management knowledge
Agile methodology familiarity
Data modelling and system optimisation skills
Root cause analysis and trend identification
Nice-to-have
Passion for data analytics and insights
Curious and enthusiastic individual
Value driven team member
Leadership in project engagements
Building effective working relationships
Key Requirements
Tertiary qualifications in numerate or IT discipline