Advanced Fraud Prevention Analyst

1 month ago

Sydney, New South Wales, Australia Cuscal Full time
Job Summary

We are seeking an experienced Data Scientist to join our Financial Crime Team and contribute to the advancement of our robust fraud monitoring program.

About the Role
  • Develop and implement fraud detection and prevention strategies to stay ahead of emerging threats and evolving trends in the payments industry.
  • Formulate a comprehensive cross-business approach and strategic plan for big data initiatives to drive business growth and optimize customer experience.
Key Responsibilities
  1. Data Science Strategy and Planning:
  • Conduct proactive analysis of multiple data sets to identify high-risk activity and emerging threats or optimize current monitoring across various channels, including cards, 3D secure, digital wallets, real-time payments, and PayTo.
  • Develop and optimize predictive modelling software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large data sets from multiple disparate sources.
  • Translate analytical insights into actionable business recommendations to improve operational outcomes and customer experience.
Continuous Improvement:
  • Deliver continuous improvement activities to prevent threats while optimizing customer experience and operational outcomes, including improvements to identify undetected fraud.
  • Ensure all processes for data analysis, machine learning models, and model governance align with Cuscal's AI strategy, including best practice guidelines for instrumentation and experimentation.
About You
  • University qualification in data science, computer science, statistics, or a related field; industry certifications related to data science and fraud detection highly regarded.
  • Demonstrated experience working with tools that deploy fraud rules and machine learning algorithms.
  • Financial services experience in payments, card payments, acquiring, 3D secure, digital banking, and real-time payments, with experience in fraud and financial crimes desirable.
  • Understanding of relational databases and programming, including SQL, R, and Python.
  • Experience interpreting data from visualization tools such as PowerBI and visualization libraries such as Matplotlib, Seaborn, and Plotly.
What We Offer
  • A competitive salary of AU$120,000 - AU$160,000 per annum, depending on experience.
  • A dynamic and inclusive work environment with opportunities for professional growth and development.
  • A range of benefits, including flexible work arrangements, educational assistance, and access to the latest technology and tools.

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