Title: Data Analyst / Catastrophe Modeler Company: Everest Global Services, Inc. Job Category: Analytics Job Description: It’s an exciting time for Everest Re Group, Ltd. (“Everest”)! As we continue on our journey, we see significant opportunity ahead of us to expand our reach, build diversity, and enhance our capabilities in critical markets. Everest is a leading global reinsurance and insurance provider, operating for nearly 50 years through subsidiaries in the Bermuda, Canada, Europe, Singapore, US, and other territories. Our strengths include extensive product and distribution capabilities, a strong balance sheet, and an innovative culture. Throughout our history, Everest has maintained its discipline and focuses on creating long-term value through underwriting excellence and strong risk and capital management. But the most critical asset in this organization is our people. At Everest, we are committed to the development of our people. We offer dynamic training & professional development to our employees. You will benefit from career development and learning opportunities that will let you set career goals and fulfill them, including: • Generous tuition/continuing education reimbursement • Mentoring opportunities • Flexible work arrangements • Talent development initiatives • Networking groups Our Facultative Reinsurance department is seeing great opportunities to expand into new markets. To support this growth, the Actuarial Cat Modeling Department of Everest Reinsurance Company, a member of the Everest Re Group, Ltd. is looking for a Data Analyst / Catastrophe Modeler to join our team. This role will be primarily responsible for analyzing catastrophe risk using models and pricing submissions for all Facultative business units within the company. This position will also be involved in automation projects, data analysis, and process improvement initiatives, all serving to improve the cat modeling workflow and streamline the end-to-end-pricing process for both underwriters and modelers. This is a hybrid position working 3 days in office, 2 remote in our Warren, NJ office. Responsibilities include but not limited to: Run catastrophe models and price a significant volume of reinsurance contracts Write logic/SQL code to process data for modeling Interact with underwriters and provide analytical support on contracts Work on improving and automating modeling workflow Qualifications, Education & Experience: Bachelor's degree with a focus on computer science, mathematics, or related field Desire to work in the reinsurance / insurance industry Recent college graduates are encouraged to apply Knowledge, Skills & Competencies: Proficient understanding of logic/programming/coding skills (such as SQL, Python, R, VBA) Relational database knowledge preferred Understanding of probability and statistics is a plus Excellent communications skills Expectational attention to detail #LI-KG1 #LI-Hybrid Type: Regular Time Type: Full time Primary Location: Warren, NJ Additional Locations: Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Talent Acquisition at 1-908-604-3000. EVEREST is a leading international reinsurance and insurance group with an extensive distribution network that spans five continents. With roots dating back to 1973, Everest has developed a global footprint and deep client relationships that are largely unmatched by its peers. The Company’s principal business strategies seek to leverage its strengths to optimize returns over the underwriting cycle, thereby creating value for its shareholders and business partners.