Fraud & Financial Crime Analytics Specialist in Sydney

Fraud & Financial Crime Analytics Specialist in Sydney

Sydney Full-Time 49500 - 60500 $ / year (est.) On-site
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At a Glance

  • Tasks: Analyse data to identify fraud risks and develop detection rules.
  • Company: Join Cuscal Limited, a leader in financial crime analytics.
  • Benefits: Competitive salary, flexible work options, and career development opportunities.
  • Other info: Collaborative environment with opportunities for growth and innovation.
  • Why this job: Make a real impact in combating financial crime using cutting-edge tools.
  • Qualifications: Strong analytical skills and experience in financial crime preferred.

The predicted salary is between 49500 - 60500 $ per year.

Cuscal Limited is seeking a Financial Crime Analyst to join its team in Australia.

You will analyse data to identify fraud risks across payments and digital channels, and develop detection rules to strengthen controls.

This role requires strong analytical skills and collaboration across stakeholders.

You will leverage Power BI, SQL and Databricks to derive insights, monitor performance, and support model validation and improvements.

Prior experience in financial crime is preferred.

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Fraud & Financial Crime Analytics Specialist in Sydney employer: Cuscal Limited

Cuscal is an exceptional employer that champions a collaborative and inclusive work culture, offering meaningful opportunities for professional growth in the dynamic field of financial services. As a Data Conversion Analyst, you'll engage in impactful projects while enjoying benefits such as flexible work arrangements, wellbeing initiatives, and a commitment to diversity. Join us in reimagining the future of finance in a supportive environment that values your contributions and fosters your development.

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Contact Details:

Cuscal Limited Recruitment Team

We think you need these skills to ace Fraud & Financial Crime Analytics Specialist in Sydney

Analytical Skills
Data Analysis
Fraud Risk Identification
Power BI
SQL
Databricks
Detection Rule Development