Catastrophe Pricing Scientist
CA, United States
Full Time Mid-level / Intermediate USD 75K - 174K
Mercury Insurance
Overview
Position Summary:
The Catastrophe Pricing Scientist will drive advanced risk pricing analysis using both industry-standard platforms—including Verisk (AIR), RMS (Moody’s), and others—along with proprietary methodologies. This role emphasizes expertise in catastrophe loss modules and pricing analytics.
The role will develop, validate, and apply catastrophe modeling frameworks to support pricing strategies for risks such as wildfires, urban conflagrations, fire-following earthquakes, severe convective storms, and hurricanes. The Catastrophe Pricing Scientist will collaborate closely with internal stakeholders to translate hazard, exposure, and vulnerability insights into actionable loss estimates and risk-based pricing structures.
Geo-Salary Information
State specific pay scales for this role are as follows:
$92, 154 to $174,681 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)
$83,776 to $158,801(NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)
$75,339 to $142,991 (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.
Responsibilities
Essential Job Functions:
• 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.
Qualifications
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: 5+ 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: 10+ years of product development experience or at least 5 years of leadership experience in project management, or an equivalent combination of education and experience.
Knowledge and Skills:
Minimum:
• Hands-on experience with catastrophe modeling platforms such as Verisk (AIR), RMS (Moody’s), or similar.
• Strong ability to analyze complex data sets and interpret model outputs for catastrophe risk pricing.
• Proficiency in calculating key risk metrics such as Average Annual Loss (AAL), Exceedance Probability (EP), Value at Risk (VaR), and Tail Value at Risk (TVaR).
• Experience in financial modeling and actuarial principles.
• Strong communication skills, including the ability to present technical concepts to non-technical audiences.
• Evidence of and commitment to staying current with evolving modeling techniques and industry best practices.
• Self-motivated with excellent critical thinking, problem-solving, and project management skills.
Preferred:
• Experience in programming languages and analytical tools such as Python, SQL, NumPy, Pandas, SciPy, Dask, or PySpark.
• Experience with probabilistic methods, geospatial analysis, and/or machine learning applications.
• Advanced quantitative skills in insurance pricing and risk analysis.
• Experience in catastrophe risk management including rating, underwriting, and reinsurance strategy.
• Knowledge of climate change impacts on insurance-related risks and familiarity with emerging modeling practices.
About the Company
Why choose a career at Mercury?
At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it.
Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.
We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.
Learn more about us here: https://www.mercuryinsurance.com/about/careers
Perks and Benefits
We offer many great benefits, including:
Competitive compensationFlexibility to work from anywhere in the United States for most positionsPaid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)Medical, dental, vision, life, and pet insurance401 (k) retirement savings plan with company matchEngaging work environmentPromotional opportunitiesEducation assistanceProfessional and personal development opportunitiesCompany recognition programHealth and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and moreMercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law.
Pay Range
USD $92,153.73 - USD $174,681.00 /Yr.Tags: Economics Finance Machine Learning Mathematics NumPy Pandas PySpark Python R&D Research SciPy SQL Statistical modeling Statistics
Perks/benefits: Career development Competitive pay Health care Insurance Salary bonus Team events
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