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Financial Crimes Detection Analyst (Aml)

Talent - Brisbane Grove, NSW

Banking & Finance
Source: uWorkin


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

  • AML/CTF Financial Crimes Detection Analyst
  • Competitive Remuneration
  • Willing to consider perm or contract

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