Job Description: 

  • Develop, implement and drive the fraud management framework for the Digital Bank
  • Develop and build fraud rule using statistical models for identifying and preventing various fraudulent activities across different markets 
  • Analyse massive user behavioural data to mine abnormal behaviour patterns to identify fraud trends 
  • Build data pipeline to enable scalable and real-time fraud detection 
  • Analyse/Test the model’s effectiveness in fraud prevention and continuously monitor/update model performance 

Requirements:

  • Bachelor’s Degree or higher discipline from a worldly recognised university with good academic credentials
  • Experience in developing statistical models and good coding skills in SQL, Excel or Python
  • 2-6 years of relevant hands-on banking, payment or fin-tech experience, or other heavily regulated environments subject to financial crime is a plus
  • Knowledge and experience in fraud mitigation, fraud detection rule writing and developing rules management best practice
  • Understanding of fraud schemes at a good technical level (Trojans, injections, social engineering, etc.)
  • Familiar with MAS regulations such as MAS Notice 641
  • Strong interpersonal and communication skills
  • Strong problem-solving skills with a positive constructive attitude
  • Structured, factual and data-driven, ability to deep dive into data and elaborate clear and synthetic insights
  • Proficiency in another ASEAN language to collaborate with internal stakeholders from across the region

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