Lead Actuarial Risk Modeler, Cyber
Job in
Duluth, Gwinnett County, Georgia, 30155, USA
Listed on 2025-12-01
Listing for:
Tokio Marine HCC
Full Time
position Listed on 2025-12-01
Job specializations:
-
IT/Tech
Data Scientist, Data Science Manager, Machine Learning/ ML Engineer, Data Security
Job Description & How to Apply Below
Join to apply for the Lead Actuarial Risk Modeler, Cyber role at Tokio Marine HCC
Location:
Metro Atlanta area (Duluth, GA)
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.
- 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.
- 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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