The opportunity
We’re seeking someone to lead the future of fraud machine learning at Ramp. In this role, you will help build core machine learning models, design data architectures, and set strategic roadmaps to help Ramp mitigate fraud-related threats while minimizing the friction experience by legitimate users.
What you'll do
Employ statistical and machine learning techniques on large datasets to: discover patterns of fraud, platform abuse, and identity theft
Prototype and productionize machine learning models and rules-based systems: to protect Ramp and its users from fraud
Partner closely with Fraud Engineering and Data Platform teams to augment and: leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
Contribute to the culture of Ramp’s machine learning team by influencing: processes, tools, and systems that will allow us to make better decisions in a scalable way