• You have built fraud detection models in production. You know what synthetic identity fraud looks like in the data. You've worked through the challenge of imbalanced datasets, messy labels, and adversarial patterns. You've managed the false positive problem and felt the commercial pressure that comes with it.
• Deep knowledge of fraud typologies - synthetic identities, first-party fraud, fraud rings, mule accounts
• Proven track record deploying fraud models into production environments
• Strong Python and ML framework experience
• Solid understanding of MLOps - deployment, monitoring, challenger models, performance decay
• Experience working with real-world fraud data and messy identity information
• Comfortable being the fraud authority in the room, without a playbook handed to you
• If you've spent years being the fraud expert that everyone else relies on and you're ready to own a function than this is the role.
• Our employees are our top priority; we offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote-friendly opportunities, and maternity/paternity leave.
• At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply.