AVP, ERM – Actuary or Data Scientist

Berkley • Greenwich, CT

4d

About The Position

Our Company provides a state of predictability which allows brokers and agents to act with confidence. Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States. Along the way, we’ve been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion. Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth. The Company is an equal employment opportunity employer. Enterprise Risk Management (ERM) Team Our key risk management aim is to maximize Berkley’s return on capital over the long term for an acceptable level of risk. This requires regular interaction with senior management both in corporate and our business units. The ERM team comprises ERM actuaries and catastrophe modelers responsible for identification, quantification and reporting on insurance, investment, credit and operational risks. The ERM team is a corporate function at Berkley’s headquarters in Greenwich, CT. The Role The successful candidate will collaborate with other ERM team members on a variety of projects with a focus on exposure management and catastrophe modeling for casualty (re)insurance. The candidate is expected to demonstrate expertise in data and analytics and be capable of presenting data-driven insights to senior executives.

Requirements

• Minimum of 7 years of experience in P&C (re)insurance, with a focus on casualty
• Proficiency in R/Python and Excel
• Strong verbal and written communication skills
• Proven ability to manage multiple projects and meet deadlines in a dynamic environment

Nice To Haves

• ACAS/FCAS is a plus

Responsibilities

• Casualty Accumulation and Catastrophe Modeling Lead the continuous enhancement of the casualty data ETL process
• Analyze and visualize casualty accumulations by insureds, lines and industries to generate actionable insight for business leaders
• Collaborate with data engineers to resolve complex data challenges and implement scalable solutions
• Support the development of casualty catastrophe scenarios by researching historical events and emerging risks
• Model complex casualty reinsurance protections Risk Process Automation and Group Reporting Lead AI-driven initiatives aimed at automating key risk processes and projects
• Contribute to Group-level ERM reports, including deliverables to senior executives, rating agencies and regulators

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level