Director, AI Risk Governance & Validation Lead - SMBC
Lead technical AI-model review and validation assurance at SMBC. The team evaluates model evidence, performance tests and lifecycle controls before independent risk decisions.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Challenge statistical, machine-learning and agent validation evidence.
- Review robustness, bias, drift and output-accuracy tests.
- Lead technical reviewers and improve monitoring and evidence standards.
What they ask for
Required
- AI model validation and governance
- Statistical and predictive-model review
- Technical team leadership
- Regulated assurance frameworks
- Senior risk communication
Preferred
- AI, data governance or model-risk certifications
- Education
- Bachelor’s in a technical, quantitative, risk or finance-related subject; master’s preferred.
- Experience
- At least 15 years across relevant disciplines, including 7 or more years of specialist team leadership.
How to prepare
- Design validation tests covering drift, bias and robustness.
- Evaluate a tool-using AI workflow with reproducible adverse scenarios.
- Prepare evidence standards connecting tests to model-risk decisions.
What to study
The Model Validation Quant roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Sumitomo Mitsui Banking Corporation’s site before applying: requirements, location and pay can change after we check them.
View the posting on Sumitomo Mitsui Banking Corporation’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Sumitomo Mitsui Banking Corporation and doesn’t handle applications.