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Catastrophe Risk Modeling Jobs in California (NOW HIRING)

... personal risk insurance products and programs. Venbrook Claims brings together decades of ... Models learning and grow by having a solid understanding of best practices. Has a working knowledge ...

... personal risk insurance products and programs. Venbrook Claims brings together decades of ... Models learning and grow by having a solid understanding of best practices. Has a working knowledge ...

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Catastrophe Risk Modeling information

See California salary details

$14

$29

$73

How much do catastrophe risk modeling jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for catastrophe risk modeling in California is $29.94, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $38.17 per hour, depending on experience, location, and employer.

What is catastrophe risk modeling?

A Catastrophe Risk Modeling job involves analyzing and assessing the financial impact of natural and man-made disasters, such as hurricanes, earthquakes, and terrorist attacks. Professionals in this field use statistical models, historical data, and simulation software to estimate potential losses and help insurance companies, reinsurance firms, and financial institutions manage risk. Their work aids in setting insurance premiums, determining capital reserves, and developing risk mitigation strategies. Strong analytical skills, proficiency in programming and modeling tools, and knowledge of geospatial and actuarial concepts are essential for success in this role.

What does someone in catastrophe risk modeling do?

Catastrophe Risk Modeling professionals are responsible for analyzing data on natural and man-made disasters to evaluate potential financial risks for insurance and reinsurance companies. Daily tasks often include running simulation models, interpreting large datasets, preparing risk summaries, and presenting findings to underwriters or business leaders. They frequently collaborate with cross-functional teams, such as actuaries, engineers, and data scientists, to refine model assumptions and improve accuracy. The work environment usually encourages continuous learning and adaptation to evolving methods and new data sources, offering a mix of individual analysis and team-based projects.

What are the key skills and qualifications needed for catastrophe risk modeling?

To thrive in Catastrophe Risk Modeling, you need a strong background in mathematics, statistics, or engineering, often supported by a relevant degree such as actuarial science, data science, or related fields. Familiarity with risk modeling software (such as RMS or AIR), GIS tools, and programming languages like Python or R is highly valued, along with relevant certifications such as Certified Catastrophe Risk Analyst (CCRA). Excellent problem-solving, attention to detail, and effective communication skills help in interpreting complex data and collaborating with underwriters, analysts, and stakeholders. These competencies are crucial for accurately quantifying risk, informing insurance pricing, and supporting business decisions in the fast-changing environment of catastrophe risk assessment.

Infographic showing various Catastrophe Risk Modeling job openings in California as of September 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 82% In-person, 12% Hybrid, and 6% Remote job distribution, with an average salary of $62,273 per year, or $29.9 per hour.

Founding Wholesale Broker - Property

San Francisco, CA • On-site

$500K/yr

Other

Posted 12 days ago


Job description

THE OPPORTUNITY

Hedge is hiring a founding wholesale broker to build and own our property practice. You will combine retail-agency relationships, market judgment, placement craft, and relentless follow-through to produce durable revenue in commercial property, catastrophe-exposed property, and layered placements.

COMPENSATION AND UPSIDE

Target OTE is $500K. Base salary is $125K-$250K, creating a target cash range of $475K-$600K across the base range. Target variable compensation is $350K at $5M in annual new bound premium, with uncapped accelerators above target. Equity is 0.50% at hire, with up to an additional 0.25% performance grant.

WHAT YOU WILL OWN
  • Build a focused retail-agency pipeline in property

  • Qualify risks, shape submissions, and select the right markets for each opportunity

  • Negotiate terms, explain tradeoffs, and drive placements from intake through bind

  • Develop strong working relationships with underwriters and program markets

  • Maintain disciplined pipeline, renewal, and revenue forecasting

  • Turn placement knowledge into repeatable playbooks and product feedback

WHAT SUCCESS LOOKS LIKE
  • First 30 days: master Hedge's market access, appetite, workflow, and current opportunity set

  • By day 60: own a credible agency and submission pipeline with clear placement strategies

  • By day 90: bind initial business and demonstrate repeatable conversion

  • In 12 months: build a high-quality property book and bind $5M in annual new premium

WHO THRIVES HERE

You have at least three years of brokerage, underwriting, or closely related experience in property. You have a strong network, sharp market judgment, and the operating discipline to manage details without losing commercial momentum.

WHY HEDGE

Hedge is building the operating system for commercial insurance distribution. You will work directly with the founders, own a consequential part of the company, and help define how the function works as we scale. We offer health benefits and meaningful equity.

WORK MODEL

This role is based in San Francisco and works in person with the team six days a week.

INTERVIEW PROCESS
  1. Application review

  2. A focused introductory conversation

  3. A production, book, and market-relationship deep dive

  4. A live placement working session using a realistic property risk

  5. Final conversation with the founders

Hedge is an equal opportunity employer. We evaluate candidates based on ability, judgment, and potential, and we do not discriminate based on protected characteristics.

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