Analytics & Innovation Lead (Property)
AXIS Speciality U.S. Services, INC. · New York, NY telecommuting permitted
Experience must include
Insurance AnalyticsData ScienceCommercial Property Insuranceglobal perilsStakeholder engagementCatastrophe ModellingGeospatial AnalyticsSQLPythonRDatabricksPower BI
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Application instructions (verbatim)
Applicants who are interested in this position may apply https://www.jobpostingtoday.com/ Ref #73085
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Application instructions (verbatim)
Applicants who are interested in this position may apply https://www.jobpostingtoday.com/ Ref #73085
Full posting text
Analytics & Innovation Lead (Property) AXIS Speciality U.S. Services, INC. — New York, NY AXIS Specialty U.S. Services, Inc. seeks an Analytics & Innovation Lead (Property) in New York, NY. Duties: Act as the key partner for our property division. Build strong relationships with relevant underwriting and support functions, identifying business problems, formulating solutions, and effectively delivering on relevant company priorities. Take on strategic responsibility for particular strategic company objectives as they arise. Establish familiarity with the existing information and processes necessary to underwrite and manage exposures across the organization, with a laser focus on the transformation of underwriting; leveraging internal and external data, along with advanced predictive analytics, to find insights and drive better decision making. Build strong relationships with underwriting management and relevant support functions to identify and define business problems, undertaking R&D to prototype analytical or innovative solutions to these. Develop business cases for proposed projects or process changes, estimating and clearly articulating costs and benefits. Work closely with Underwriting, Technology, Data & Analytics, Pricing, Exposure management and other supporting functions to successfully incorporate solutions into existing business processes or to redesign processes as necessary. Contribute effectively to headline strategic initiatives including Gen AI, Underwriting Insights, and Customer Centricity representing the needs and priorities of your assigned business partners to help drive projects to success. Provide insight to the balance between tactical solutions that provide more immediate value versus strategic implementations that may take longer to implement but provide better business value in the long run. Monitor the external environment, and being a thought leader on new opportunities, tools, techniques, and technologies. Collaborate closely with Operations, Technology and Distribution to ensure appropriate connections are made and to manage project clash. Telecommuting permitted. The position requires a Bachelor's degree in Data Science, Mathematics, or a related field, plus 5 years of experience in insurance analytics, data science or a related role. Requires 5 years of experience with the following: Insurance Analytics & Data Science within the (re)insurance industry. Commercial Property Insurance and global perils (natural and manmade). Stakeholder engagement and influencing business outcomes across functions. Requires 3 years of experience with the following: Catastrophe Modelling, Outputs & Geospatial Analytics. Modern data technologies including SQL, Python, R, Databricks and Power BI. 40 hours/week, $170,000 195,000 per year. Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply https://www.jobpostingtoday.com/ Ref #73085
Why we think this is a PERM ad (92% confidence): The posting names the specific employer (AXIS Specialty U.S. Services, INC.) and worksite (New York, NY, with telecommuting permitted), states exact minimum requirements including 'Bachelor's degree in Data Science, Mathematics, or a related field, plus 5 years of experience in insurance analytics,' and specifies detailed experience requirements (5 years in insurance analytics & data science, 3 years in catastrophe modelling and modern data technologies). It directs applicants to apply via a link with a reference number (Ref #73085), characteristic of PERM labor-market-test advertisements.