Pacific Life needs to ensure that predictive, machine learning, and generative AI models are fit for purpose and in line with the company's risk appetite, requiring robust model risk oversight and validation standards.
Requirements
- 10+ years developing and validating Advanced Analytic models, preferably in financial services.
- Experienced coder in languages such as Python and SQL.
- Deep familiarity with modern ML libraries, experience with cloud ML pipelines and MLOps.
- Passionate learner and self-starter who stays current with evolving generative AI tools and techniques.
- Risk-based thinker who prioritizes by materiality.
Responsibilities
- Lead comprehensive reviews of Advanced Analytic models (predictive, ML, AI), converting findings into concise, actionable recommendations for business owners, senior leaders, and risk committees.
- Define the Generative AI model validation playbook – translate emerging best practices and frontier research into enterprise standards and practical techniques.
- Build AI solutions that streamline MRM team workflows and elevate oversight quality.
- Track emerging tools, techniques, and regulations, and contribute to the evolution of the MRM and AI governance frameworks.
- Serve as a trusted partner to analytic, legal, and compliance teams – build relationships and drive engagement, influence design decisions, and provide effective challenge that raises the bar on model quality and governance.
- Champion efficient modeling techniques and strong governance throughout the model life cycle.
Other
- This role is onsite.
- Relocation assistance will be provided.
- Strong communication skills. Able to translate AI/ML topics to non-practitioners, and influence both senior leaders and technical teams effectively.
- Master’s or Ph.D. in Statistics, Data Science, Computer Science, or a related field.
