The role has three key focus areas:
Deliver data-driven insights by preparing, analysing and interpreting results and data from the operation of the current Sanctions and AML monitoring detection solutions.
Working collaboratively with a range of stakeholders to design, develop and implement new and improved Sanctions and AML monitoring solutions across all of ANZ s business units and geographies.
Ongoing monitoring and uplift of solutions to demonstrate effective operation and identify potential improvements.
We know not everyone will bring all of the skills and experience, and at ANZ we are focused on people bringing a growth mindset to their approach to work. Some of the skills we are looking for are below, but don t worry if you don t have all of these as learning on the job is the way we work.
But back to some of the skills -
Strong financial crime domain understanding, Sanctions/AML/WLM/PEP screening including strong understanding of sanctions AML filters/lists management and tuning methodologies
Strong analytical, numerical, conceptual, and problem solving skills.
Excellent communication and documentation skills.
Experience in analysing large datasets, with strong SQL skills and experience developing complex queries.
Experience analysing data and implementing solutions in one or more of Python, SAS, R and other data science technologies, including exposure to Machine Learning.
Advanced Excel, VBA and PowerPoint skills.
Strong focus on learning and extending skills and capabilities in regards to data analysis, data science, with a view to potential advancement into more senior positions.
Energetic and outcome focused, with a desire to be involved in delivery and implementation of solutions and willingness to work within an agile delivery framework across multiple initiatives in parallel.
Understanding of payments and compliance systems and technology change management processes.
Ability to work effectively using time management, collaboration and ownership within a virtual team environment.