Fraud Prevention Expert

1 week ago

Adelaide, South Australia beBeeSpecialist Full time $100,000 - $140,000
Machine Learning Fraud Prevention Specialist

We are redefining how the world experiences design at our company. As a machine learning fraud prevention specialist, you will be part of our platform team responsible for understanding how our business attracts fraud and finding effective ways to manage it.

Your Key Responsibilities:

  • Developing and deploying fraud detection models to prevent revenue leakage across our monetization channels.
  • Collaborating with backend engineers, data scientists, and product managers to build and iterate on fraud prevention strategies.
  • Shaping our fraud ML strategy using a strong product + platform mindset.
  • Architecting, building, and maintaining ML systems that underpin fraud detection and response.
  • Mentoring and upskilling engineers and data scientists in the team to support you.
  • Empathetic and effective advocacy with stakeholders across domains and specialties.
  • Advocating for ethical AI practices and user trust in our fraud prevention approaches.

Requirements:

  • You've built and deployed machine learning models in production environments (preferably for fraud, abuse, or anomaly detection use cases).
  • You're comfortable working across the ML lifecycle - from data wrangling to evaluation and model iteration.
  • You operate strategically - not just building what's asked, but shaping what should be built.
  • You're comfortable navigating ambiguous problem spaces with incomplete data and evolving priorities.
  • You have strong product sense and empathy for both internal and external users.
  • You're a strong communicator who can align cross-functional teams and drive clarity in chaos.
  • You have hands-on experience building complex internal tools and user-facing flows at scale.
  • You enjoy thinking deeply about adversarial scenarios, edge cases, trust, and user intent.
  • You understand scoring and recommendation systems and how to apply them.
  • You have a strong grasp of core CS fundamentals, system design, and architecture.
  • You're fluent in Python and familiar with tools like PyTorch, TensorFlow, or scikit-learn.
  • Experience in fintech and business process automation is a plus.

About Us:

We celebrate all types of skills and backgrounds at our company, so even if you don't feel like your skills quite match what's listed above - we still want to hear from you.

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