Director of Analytics

Qualifications:

• Actuarial background required; credentialed actuary (ACAS/FCAS or equivalent) strongly preferred.
• PhD (preferred) or Master’s in a quantitative field such as Actuarial Science, Statistics, Mathematics, Engineering, Computer Science, or related quantitative field.
• Minimum of years of experience across actuarial, advanced analytics, or data science roles, including significant hands-on model development experience.
• Hands-on experience in any of these items: pricing, rate indications, product optimization, actuarial forecasting, loss modeling, profitability analysis, underwriting, risk selection and portfolio management.
• Years of leadership experience managing high-impact data science or cross-functional teams (preferred), with continued personal technical contribution.
• Proven track record in the P\&C insurance industry, particularly within Product, Pricing, Underwriting, or Risk domains.
• Advanced proficiency in

Python

and

SQL

for data manipulation and model development, with recent, ongoing hands-on usage.

• Deep expertise in actuarial methods,

machine learning

,

statistics

, and

MLOps

practices.

• Hands-on experience building, deploying, and maintaining scalable analytics models on large insurance datasets.
• Skilled in project scoping, planning, and delivery of robust, business-aligned AI solutions.
• Experience with GenAI, NLP, and advanced modeling techniques across structured and unstructured data.
• Strong grasp of model governance, responsible AI, and regulatory compliance.
• Excellent communicator with the ability to translate complex technical insights for diverse audiences.
• Strong influencing, negotiation, and conflict resolution skills.