
Data-Driven Fraud Prevention Specialist
2 weeks ago
We're seeking a seasoned Machine Learning Engineer to join our team.
About This RoleThis is a critical position that requires expertise in developing and deploying machine learning models to prevent revenue leakage across monetization channels. You'll collaborate with backend engineers, data scientists, and product managers to build and iterate on fraud prevention strategies.
You'll be responsible for developing a deep understanding of the business and how to exploit it for monetary gain. You'll also shape our fraud ML strategy, using a strong product + platform mindset.
The ideal candidate will have hands-on experience building complex internal tools and user-facing flows at scale. You'll enjoy thinking deeply about adversarial scenarios, edge cases, trust, and user intent.
- Developing and deploying fraud detection models to prevent revenue leakage
- Collaborating with backend engineers, data scientists, and product managers to build and iterate on fraud prevention strategies
- Developing a deep understanding of the business and how to exploit it for monetary gain
- Shaping our fraud ML strategy using a strong product + platform mindset
We're looking for a highly skilled Machine Learning Engineer who can:
- Build and deploy machine learning models in production environments
- Operate strategically, shaping what should be built rather than just building what's asked
- Navigate ambiguous problem spaces with incomplete data and evolving priorities
- Have a strong product sense and empathy for both internal and external users
- Be a strong communicator who can align cross-functional teams and drive clarity in chaos
We offer a range of benefits to support your career growth and overall well-being, including:
- Equity packages to share in our success
- Inclusive parental leave policy supporting all parents & carers
- Annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
- Flexible leave options to empower you to be a force for good, take time to recharge and support yourself personally
We celebrate all types of skills and backgrounds at our company, so don't be afraid to apply even if you don't think you match every requirement listed above.
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