Actuary, Commercial Property Pricing

Everest Global Services, Inc. dba EVEREST REINSURANCE COMPANY • New York, NY • 6h ago

Title: Actuary, Commercial Property Pricing Company: Everest Global Services, Inc. Job Category: Analytics Job Description: About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world. About the Role: The insurance Actuarial Group of Everest Insurance, a member of the Everest Group, Ltd. is currently recruiting for an Actuary, Commercial Property Pricing role to provide both traditional and technical support to Everest's Primary Casualty business. This a hybrid position based out of our Warren, Boston, New York City, Stamford or Philadelphia offices. In addition to having strong technical capabilities, the ideal candidate will be high-energy, with a strong desire to learn and develop, and be attracted to the opportunity to develop new tools & capabilities within a rapidly expanding business. Responsibilities include, but are not limited to: Support the development and enhancement of pricing tools and methodologies for Commercial Property products, including Wholesale and Programs. Perform pricing, profitability, rate change, trend, and portfolio analyses to support underwriting and business decision-making. Assist with annual planning activities, including ELR analysis, portfolio reviews, and preparation of actuarial assumptions. Support pricing modernization initiatives, including model development, coding, testing, validation, and implementation. Contribute to portfolio impact analyses for strategic initiatives, including rater harmonization and pricing methodology changes. Partner with Underwriting, CAT Modeling, IT, Operations, and other actuarial teams to gather inputs, validate assumptions, and explain analytical results. Help improve efficiency, governance, and documentation of pricing and analytical processes. Support regulatory, filing, reinsurance, and ad hoc actuarial requests as needed. Develop clear exhibits and summaries that translate actuarial analyses into practical business insights. Desired Skills, Qualifications, Education & Experience: Near-ACAS with strong property pricing experience. 5+ years of actuarial experience, preferably in property pricing, commercial lines, portfolio management, or related insurance analytics. Strong analytical and problem-solving skills, with the ability to work with complex data and translate results into business recommendations. Experience with actuarial pricing tools, data analytics, and modeling techniques. Familiarity with catastrophe modeling concepts and property insurance pricing preferred. Proficiency with Excel and large datasets; Python, SQL, R or similar tools preferred. Strong communication skills with the ability to explain technical concepts to actuarial and business stakeholders. Ability to manage multiple priorities, adapt to changing business needs, and work effectively in a cross-functional environment. Strong attention to detail, ownership, and willingness to learn new systems, tools, and pricing methodologies. The base salary range for this position is $119,000 - $150,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). #LI-Hybrid #LI-NYC #LI-Boston #LI-Warren #LI-Stamford #LI-Philadelphia #LI-JH1 What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn'

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