The Sr. Catastrophe Pricing Scientist serves as a subject matter expert in statistical modeling and insurance product research.
This role focuses on finding ways to better price our existing product, which can include creating new products from scratch using raw data or adjusting current products. Analysis must be done to understand how these changes impact the current book of business and drive profitability. Necessary statistical techniques include generalized linear models (GLMs) for pricing and clustering methods for territory segmentation. The senior scientist will define projects, their timelines, and lead sophisticated risk pricing analyses using both industry-standard platforms (e.g., Verisk AIR, Moody’s RMS) and proprietary tools.
State specific pay scales for this role are as follows:
$105,245 to $199,452 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)
$95,677 to $181320(NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)
$86,110 to $163,188 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)
The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.
· Use GLM (generalized linear models) for insurance pricing · Ability to propose and lead new projects, including purpose, scope, and timeline · Apply industry-leading catastrophe models and proprietary techniques to assess risks including wildfires, urban conflagrations, fire-following earthquakes, severe convective storms, and hurricanes. · Collaborate with Actuarial, Research & Development, State Product Management, and Underwriting teams to integrate catastrophe model outputs into pricing workflows. · Refine model assumptions by adjusting vulnerability curves, applying loss scaling factors, and incorporating proprietary insights and market expertise. · Enhance catastrophe modeling frameworks to improve the accuracy and reliability of loss estimates used for pricing. · Partner with cross-functional teams to implement insurance products that align with Mercury’s standards of excellence. · Provide insights in statistical modeling, including performing data audits, statistical evaluations, and advanced analyses to solve complex insurance challenges. · Recommend enhancements to existing products and support pricing and modeling updates based on research findings. · Contribute to the design and development of new insurance products, collaborating with IT, Underwriting, Marketing, and other departments to ensure successful implementation. · Manage the prioritization and distribution of individual tasks for product development. · Participate in real-time risk analytics and detailed loss estimation initiatives. · Deliver training sessions on new products and updates for internal teams as needed. · Create reports, presentations, and data visualizations to clearly communicate findings to both technical and non-technical audiences. · Define and manage individual projects in partnership with the Lead. · Independently prioritize and execute tasks to meet Mercury’s standards of excellence in catastrophe pricing. · Perform additional responsibilities as assigned.
*Essential job functions are the fundamental duties of the position. A duty is generally considered an essential function if (1) the reason the position exists is to perform the function; (2) there are a limited number of employees available among whom the performance of the function can be distributed; and/or (3) the function is highly specialized and the employee in the position is hired for his or her expertise or ability to perform the particular function. *This job description does not list marginal job functions that may be required. *This job description is intended to provide a general description of the nature and level of work performed by team members assigned to this job. It is not intended to be an exhaustive list of all responsibilities, duties and skills required. The physical demands and work environment described here are representative of those normally associated with this position. The Company will provide reasonable accommodation to qualified team members with a disability unless doing so would result in undue hardship. Applicants or team members must notify the Vice President of Human Capital of any need for reasonable accommodation.
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- Education Minimum: Bachelor's degree with an emphasis analytical concentration such as math, statistics, economics, finance, quantitative research, etc. - Preferred: Master’s degree with an emphasis in analytical concentration such as math, statistics, economics, finance, quantitative research, etc. - | ||
- Experience Minimum: 10+ years of product development experience or at least 1 year of leadership experience in project management, or an equivalent combination of education and experience.
Preferred: 15+ years of product development experience or at least 5 years of leadership experience in project management, or an equivalent combination of education and experience.
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