Data-Driven Fraud Prevention Specialist

3 days ago


Adelaide, South Australia beBeeMachine Full time $150,000 - $200,000
Job Overview

This role involves developing and implementing machine learning models to prevent revenue leakage across various monetization channels. You will work closely with backend engineers, data scientists, and product managers to build and iterate on fraud prevention strategies.

The ideal candidate has experience building and deploying machine learning models in production environments, preferably for fraud, abuse, or anomaly detection use cases. They should be comfortable working across the ML lifecycle, from data wrangling to evaluation and model iteration.

  • Key Responsibilities:
  • Developing and deploying fraud detection models
  • Collaborating with cross-functional teams to build and iterate on fraud prevention strategies
  • Shaping the company's fraud ML strategy using a strong product + platform mindset
  • Architecting, building, and maintaining ML systems that underpin fraud detection and response

Requirements:

  • Experience building and deploying machine learning models in production environments
  • Comfortable working across the ML lifecycle
  • Strong product sense and empathy for both internal and external users
  • Strong communication skills to align cross-functional teams

Benefits:

  • Equity packages
  • Inclusive parental leave policy
  • Annual Vibe & Thrive allowance
  • Flexible leave options

Other:

  • We celebrate all types of skills and backgrounds
  • Interviews are conducted virtually


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