Senior Risk ML Engineer (KYA)

Role overview Build real-time risk and trust decisioning for interactions involving people, software agents, and channels. The work combines model development with production engineering, with a focus on dependable decisions that can be explained and monitored.

Responsibilities - Design features and machine learning models for real-time risk scoring. - Put model inference into production and establish monitoring and drift detection. - Work with compliance teams to deliver decision policies that can be explained. - Balance model quality with response time and operational reliability.

Requirements - 5+ years of experience building machine learning systems for risk or fraud. - Strong production machine learning engineering experience. - Experience with decisioning systems. - Ability to manage tradeoffs among model quality, latency, and reliability.