Lead, Specialty Exposure Analytics & Modelling

Ascot Group; Stamford (CT); In loco; USD 200.000 - 240.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health benefits

Dental insurance

Vision insurance

401(k) plan

Paid holidays

Paid time off

Long-term disability

Descrizione del lavoro

Ascot Group is seeking a Senior Leader to head Specialty Exposure Management, overseeing pre- and post-bind modelling for non-natural catastrophe portfolios and driving analytics across exposure management platforms. You will work with underwriting to optimize capacity, validate models, and ensure robust data governance in a dynamic, AI-enabled environment.

The role requires a decade of catastrophe modelling or portfolio analytics experience, strong SQL skills, and proven leadership.

Competenze

• Bachelor’s degree required; quantitative discipline preferred.
• Minimum of 10 years of experience in catastrophe modelling, exposure management, or portfolio analytics.
• Strong technical proficiency with exposure management data systems and SQL.
• Ability to lead and motivate teams and influence senior stakeholders.
• Understanding AI, machine learning, predictive analytics, and data science applications in insurance.

Mansioni

• Develop and maintain Ascot’s View of Risk for non-natural catastrophe classes.
• Lead the Exposure Management team in daily activities and reporting.
• Partner with underwriting to optimize exposure capacity and risk-adjusted ROE.
• Manage relationships with data vendors and ensure timely, accurate service.
• Establish data standards and ensure data integrity across portfolios.
• Present exposure and model outputs to committees and senior stakeholders.
• Lead regulatory reporting for relevant classes.

Conoscenze

SQL proficiency

Leadership

Exposure management

Data analysis

Modeling

Communication

Formazione

Quantitative degree preferred

Strumenti

Exposure management systems

Descrizione del lavoro

Ascot Group is seeking a Senior Leader to head Specialty Exposure Management, overseeing pre- and post-bind modelling for non-natural catastrophe portfolios and driving analytics across exposure management platforms. You will work with underwriting to optimize capacity, validate models, and ensure robust data governance in a dynamic, AI-enabled environment.

The role requires a decade of catastrophe modelling or portfolio analytics experience, strong SQL skills, and proven leadership.