Scot Gnewuch
Senior Vice President - Head of Corporate Reinsurance and Risk Managment @HSB - Hartford Steam Boiler
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WORK HISTORY
Senior Vice President - Head of Corporate Reinsurance and Risk Managment @HSB - Hartford Steam Boiler
Hartford, CT, US
Responsible for HSB Group reinsurance and corporate catastrophe risk management and accountable for protecting HSB Group corporate assets while ensuring profitable growth. The role partners with HSB Business Units to design, structure, and execute assumed reinsurance treaties with client companies, and place ceded reinsurance treaties consistent with HSB and Munich Re corporate risk strategies. CAT modeling responsibilities include monitoring and managing the risk associated with cyber, natural, and man made perils.
EDUCATION
Boston College
Master's degree, Geophysics
Allegheny College
Bachelor of Science (B.S.), Geology/Earth Science, General
Boston College
Master of Science (M.S.), Geophysics and Seismology
Boston College Carroll School of Management
Master of Science (M.S.), Finance
Boston College
Master of Science - MS, Geophysics and Seismology
Boston College
M.S. Geophysics, Geophysics and Seismology
Boston College
M.S. Geophysics, Geological and Earth Sciences/Geosciences
Boston College
M.S. Geophysics
SKILLS
ABOUT SCOT GNEWUCH
Experienced manager in applying analytics to real world business issues• Over 35 years of analytic and mathematical modeling experience, 20 years of insurance industry experience, 15 environmental consulting• Broad insurance industry background (Property, Equipment Breakdown, Cyber, Environmental, Work Comp, Reinsurance, Finance, Risk Management, Actuarial, New Product Development)• Thorough knowledge of insurance pricing and reserving, reinsurance analyses (ceded and assumed), risk analysis, rating agency and regulatory reviews, loss control and engineering• Early career focus on Environmental analytics and their application to industry and government (contaminant transport, environment compliance, environmental impact and human health assessment)• Broad general background in data and analytics including Machine Learning Methodologies, Monte Carlo Analysis, Finite Difference Modeling, and a deep knowledge of Cat Modeling (RMS and AIR).
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