**The CCB Risk Modeling team i** s seeking talented professionals with expertise in machine learning, explainable AI (XAI), and responsible AI practices, with a focus on credit decision and fraud modeling applications. Our work centers on explainability, fairness, and algorithmic bias - understanding how modern AI systems reason and make decisions across ML systems, next-generation LLMs, and agentic workflows. The ideal candidate will drive these initiatives across model development, tooling, and cross-functional collaboration, ensuring AI/ML solutions meet ethical standards and regulatory expectations.
**Key Responsibilities**

+ **Model Development:** Design and develop machine learning models to drive impactful decisions across credit decisions and fraud modeling, covering the entire customer lifecycle, including acquisition, account management, transaction authorization, and collections.
+ **Advanced Machine Learning Techniques:** Apply state-of-the-art machine le...