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Lead Actuarial Risk Modeler, Cyber

Tokio Marine HCC -
Duluth, GA

Job Details

Full-time

Qualifications

Presentations for conferences or internal meetings
Bachelor's degree
Statistical modeling
Quantitative risk analysis
Insurance (Financial sectors)
Simulation analysis
Research findings presentation
Model evaluation
Validation design

Full Job Description

As Lead Actuarial Risk Modeler , you will utilize your actuarial and risk modeling skills with specialized expertise in cyber to support Tokio Marine Holdings model development, validation, and analytics. This position will be located in Metro Atlanta area (Duluth, GA) joining a bright team of experts in risk modeling, analytics, research, and development.

Performance Objectives:

Cyber and Cat Analytics : Expert user of vendor cyber models and applied analytics supporting various functions in risk management and underwriting.
Research and Catastrophe Model Evaluations : Develop benchmarks and validate model components and results presenting conclusions and recommendations to stakeholders. Actively research in the field of cyber and (man-made) accumulation risks.
Cyber and Cat Model Development : Apply specialized actuarial and cyber expertise to develop risk models for cyber and other perils – (man-made) accumulation risks and natural catastrophe.
Training and Collaboration : As an expert in the field, proactively share expertise and research on various research and relevant topics via training and collaboration with the broader Tokio Marine Group.

Requirements:

Bachelor’s degree in Actuarial Science, Data Science, Statistics or similar field; advanced degree or actuarial certifications (ACAS/FCAS) preferred.
A minimum of 5 years of relevant and progressive professional experience in cyber risk modeling, actuarial, or catastrophe modeling and analytics with proven track record in developing and validating risk models in P&C (re)insurance industry.
Expert user of vendor cyber models with thorough understanding of related frameworks
Deep knowledge of statistics, simulation, & stochastic modeling techniques
Proficient programming skills in Python, R, or similar preferred
Well versed with man-made accumulation risks state of knowledge
Experience applying actuarial expertise in catastrophe modeling and risk analytics
Flexibility and a willingness to learn
Sound analytical skills, as well as strong decision-making and problem-solving aptitude
Exceptional communication and presentation skills with ability to establish networks
Experience with project management a plus

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