Quant jobs / Metlife
AVP, Data Science & AI
Lead production data science for MetLife Japan. The team develops insurance underwriting and fraud models alongside language-model and business analytics applications.
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.
- Lead insurance-model development and deployment.
- Review model quality, fairness and monitoring evidence.
- Build reusable features and controlled data pipelines.
- Coach technical teams and explain model risks to stakeholders.
What they ask for
Required
- Production machine learning
- Statistical foundations and interpretability
- Technical team leadership
- Model governance and MLOps
- Japanese and English
Preferred
- Insurance or other regulated-industry experience
- Generative AI
- Advanced degree or actuarial qualification
- Education
- Degree in computing, statistics, mathematics, engineering, physics, economics or a quantitative discipline; level not stated.
- Experience
- Roughly a decade or more in advanced analytics or data science, with 3 or more years directing technical teams.
- Languages and tools
How to prepare
- Develop an underwriting model with calibrated out-of-time evaluation.
- Test subgroup performance and document explainability limitations.
- Design monitoring and retraining controls for an insurance ML service.
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 Metlife’s site before applying: requirements, location and pay can change after we check them.
View the posting on Metlife’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Metlife and doesn’t handle applications.