We are currently seeking a Financial Crimes Detection Analyst (AML) to join one of our financial services clients based here in Brisbane.

The role:

Enhance business strategies for the purpose of detecting, correcting and preventing fraudulent activities relating to internal and external fraud and AML/CTF
Develop a financial crimes rule review program for all monitoring and detection systems.
Review detection rules on all monitoring systems to ensure the adequacy of the rules i.e. rules are effectively detecting financial crimes at an acceptable false positive rates
Develop and deploy rules into Financial Crimes systems and test their performance.
Undertake incident reviews and propose new/enhanced detection rules.
Ensure all rule reviews and changes are documented as per industry best practice.
Identify and utilise data to maximise Financial Crimes detection capabilities.
Develop and maintain a financial crimes data dictionary for all relevant systems
Develop and maintain metrics and reporting which quantifies financial crime threats and losses.

Ideal candidates will have:

Tertiary qualification in an appropriate quantitative discipline (Computer Science, Mathematics or equivalent), highly desirable.
At least three years' experience in an analytical role (or similar) within a financial services institution.
Experience in financial crimes detection and analytics (or similar), highly desirable.
Ability to use statistical techniques to derive new card fraud rules from labelled fraud data
Proficient in analysing large datasets to identify patterns and anomalies and have the ability to become proficient in applying these abilities into the detection of Fraud and AML/CTF activity.
Experience in analytical software such as PRM, SAS, Splunk and ability to quickly master new analytics software;
Experience and understanding of SQL, qlik and python

For more information on this role please contact Jackson Bruce on 07 3221 3333 or email jackson.bruce@talentinternational.com