Risk Data Scientist – Fraud Risk / Compliance Risk Advisory Data Scientist

• Great Rates $1,000 to $1,300 per day;
• Initial 3 months with prospect of renewal;
• WFH / WFO Hybrid (1 day in office, rest WFH);
• Location Near Central Station;
• End-user Organization;

 
This position is suitable for a Risk Data Scientist with a strong foundation in data analysis and an even stronger focus on consultative risk advisory, conceptual thinking, and business-oriented problem solving.
  
This role is ideal for someone who thinks beyond the code — someone who can turn data patterns into meaningful narratives, communicate risk exposure to executives, and co-design solutions that align with both operational priorities and enterprise risk frameworks.
  
  
To be successful for this role, your CV will need to reflect on following skill-set:
  

• Background in data science, risk analytics, or strategy consulting with a focus on fraud, financial crime, or operational risk.
• Strong conceptual understanding of fraud typologies, internal controls, and risk frameworks;
• Ability to influence senior stakeholders and communicate complex ideas simply.
• Experience in a banking, financial services, insurance, fintech, or consulting environment.
• Proficiency in tools like Python, R, Excel, SQL, Power BI or Tableau is welcomed – but strategic thinking and communication will set you apart.
• Hands-on Statistical and mathematical modelling background, i.e. decision trees, random forest
• A passion for uncovering risk blind spots and helping businesses build safer, smarter systems  

Preferred but Not Essential Experience:

• Experience with Power BI Dashboards and Reports
• Experience with Machine Learning / Deep Learning / NLP

   
Key Responsibilities:

• Partner with business units to understand fraud and operational risk challenges from a business and customer lens.
• Interpret and translate analytical findings into actionable insights that inform policies, controls, and risk management frameworks.
• Support fraud detection and prevention initiatives with conceptual models, root cause analysis, and strategic recommendations.
• Collaborate with compliance, internal audit, operations, and technology teams to embed risk intelligence across the organisation.
• Develop executive-level dashboards and presentations that clearly articulate risk patterns and business impact.
• Contribute to enterprise-level risk assessments and help design frameworks for identifying, measuring, and managing risk.

  
   
Best method to apply is using the application button on this advert. We can be contacted on (02) 9687 1025 for a confidential discussion but please ensure the resume has been sent.