Fraud Analyst - Data mining, trend analysis, fraud identification , SAS/SQL

 

Melbourne CBD location

Career growth opportunity

Training & development on offer

A fantastic junior level Fraud Analyst role is available in a large scale financial services organisation within their retail credit risk analytics team. The purpose of this role is to ensure that Fraud detection tools are used to the best of their abilities, with a purpose of minimising exposure that occurs on retail banking products such as Credit Cards, Cheques, and Internet & Phone Banking transactions.

Responsibilities:
      
• Interrogating data through SQL and SAS to identify trends or similarities across fraudulent activity that could have been prevented or detected earlier.
• Ensuring ????? ????? are up to date and that they are automated where possible.
• Creation and collation of fraud reporting
• Provide information requested by other functions across the bank
• To provide ad hoc analysis and reports to those requiring ????? ????? support business objectives.
• Participation in Consumer Banking Fraud Projects
• Ensuring ????? ????? procedures are in place so that losses are not written off unnecessarily.
• Reviewing & maintaining detection rates, monitoring ????? ?????, and fine tune false positives rates.
• To become a subject matter expert for projects assessing fraud risk.
 
Requirements:
      
• Degree qualified in Statistics, computer science, operation research, mathematics, or similar
• Ability to write code/formulas in SQL or SAS
• Commercial analytical experience will be highly desirable 

Please contact ????? ????? for further information on (??) ???? ???? or simply Apply below.