Applied Responsible AI Lead

Responsible AI in banking is not a constraint imposed from the outside, and it is not primarily about abstract ethics or headline-grabbing model safety debates. In a regulated financial institution, AI introduces risk across model performance, customer impact, regulatory compliance, legal obligations, privacy, cybersecurity, third-party dependency, operational resilience, data governance, and reputation. Managing those risks well is exactly what allows the bank to move forward with confidence — not despite governance, but because of it.

This role operates as a 1.5 Line of Defense — a concept that is distinctive and important. The Applied Responsible AI Lead works between the 1st Line (data scientists, AI engineers, technology delivery teams, and business use case owners) and the 2nd Line (Model Risk Management, Compliance, Legal, Privacy, Fair and Responsible Banking, Information Security, and Enterprise Risk). The role is neither a rubber stamp nor a ...