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Specialist insurance: The next frontier for data science | James Poynter

James Poynter

QBE

2017

Specialist insurance

Upstream Energy Insurance

Clustering

Data Science

National Oil Companies

Drilling Contractors

Seismic Survey

Mobile Offshore Drilling Units

Insurance Products

Loss of Hire

Physical Damage

S&L

ROW

Collision

Hull and Machinery

Weather Damage

Windstorm Insurance

Operators Extra Expense

Oil and Gas Highlights

QBE Oil and Gas

Monte Carlo simulation

AAL

EP curves

neo4j

Predicting Claims

IOT

Автор: MEETUPVIDEO

Загружено: 2024-06-29

Просмотров: 23

Описание: The London Insurance Market is the world’s leading hub for specialist insurance, a place where underwriters and brokers make markets for and trade new, complex, and large risks. This talk will give: an overview of the multi-billion dollar market, discuss the complexity of offshore energy risk, and the exciting potential applications of data science techniques within the specialist insurance sector.

Summary:
James Poynter discusses the integration of data science in specialist insurance, focusing on upstream energy and its potential for innovation.

Highlights:
🌍 Specialist insurance is vital in London’s $70 billion market.
💡 Data science presents untapped opportunities for profit in specialist insurance.
📈 QBE aims for $100 million additional profit via data science in five years.
🛥️ Offshore energy risks include drilling operations and complex insurance products.
🔍 Predictive modeling assists underwriters in risk assessment and claims prediction.
📊 Historical data is scarce, necessitating innovative simulation techniques.
🤝 QBE is hiring data professionals to strengthen its analytics capabilities.
Key Insights
📊 Data Science as a Catalyst: Data science is not just a tool; it’s a strategic approach that can drive profitable innovations tailored to client needs. This shift requires a culture change within firms like QBE.
🛢️ Understanding Upstream Energy: Insuring the upstream oil and gas sector involves complex operations from exploration to decommissioning, highlighting the industry’s unique risks and needs for specialized coverage.
🔍 Risk Assessment Challenges: Lack of historical claims data in specific sectors (like Gulf of Mexico windstorms) necessitates innovative modeling and simulations to accurately predict potential losses, emphasizing the importance of data analytics.
💼 Sophisticated Clientele: The oil and gas industry comprises highly sophisticated clients, requiring insurers to develop complex products and maintain in-depth knowledge of engineering and risk management.
🚀 Agility in Insurance: Embracing a startup mentality could enable insurance firms to adapt more quickly to changes and technological advancements in the market, fostering innovation.
🌐 Emerging Technologies: The rise of IoT and data from various sources will challenge insurers to integrate and analyze information effectively, transforming the insurance landscape.
🤝 Talent Acquisition: Building a skilled team in data science and analytics is crucial for QBE to harness the potential of data-driven insights, underscoring the need for industry professionals.

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Specialist insurance: The next frontier for data science | James Poynter

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