FM is looking to solve the problem of property loss prevention and risk management for its policyholder-owners by translating business needs into analytics and artificial intelligence solutions
Requirements
- Ph.D. in Statistics, Biostatistics or Operational Research with 2+ years of industry experience or a Master's degree with 5+ years of industry working experience in data science modelling
- 5+ years of experience of data processing, statistical analysis and modelling using tools such as Python, R, or SQL
- 2+ years of experience of working with cloud data analytics platform, such as Databricks
- Advanced Knowledge and Working Experience in Generalized Linear Models (Logistic Regression, Zero-Inflated Model, etc.)
- Advanced Knowledge and Working Experience in Model Regularization
- Advanced Knowledge and Working Experience in Probability Distributions
- Experience as the lead role of full-cycle data science projects
Responsibilities
- translating business needs into analytics
- interpretation of analytics into business applications
- developing and applying statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention
- planning, conducting, and advising the development and evaluation of real-world, large-scale problems using artificial intelligence/machine learning
- using statistics to advance the mission and goals of FM
- building solutions for FM using new technologies
- applying a vast array of techniques and tools to solve complex problems
Other
- Ph.D. or Master's degree in relevant field
- 2+ years of industry experience or 5+ years of industry working experience
- Strongly preferred experience in risk management and/or property insurance
- Ability to work with multiple departments, including operations, innovation, business technology transformation, underwriting, and engineering
- Participation in FM's comprehensive Total Rewards program
