Member of Technical Staff, Risk Modeling

Qualified Intelligence is building cost-of-corrections insurance for AI work product. We cover the costs of fixing work done with AI if something goes wrong. Other insurers respond to third-party claims. We respond to first-party corrections.

We are looking for a Member of Technical Staff, Risk Modeling to help make that risk measurable and underwritable. The work is applied research: define the exposure, study the data, build models, and test assumptions.

This is an early-career role for someone with strong quantitative skills, enough programming experience to analyze data, and curiosity about AI. You don't need insurance experience. You do need to be comfortable with probability, statistics, modeling, and judgment about uncertain data.

We work together in person in San Francisco. You will work with underwriting, engineering, and outside insurance partners, and your analyses will inform how the company selects, prices, limits, or declines risk.

Backgrounds that could fit.

• Quantitative finance, trading research, risk modeling, or insurance analytics.
• A PhD, postdoc, research role, or strong academic record in economics, statistics, computer science, physics, mathematics, engineering, operations research, data science, or a related quantitative field.
• Data engineering, applied AI, production machine learning, or technical work on systems that use models in real workflows.

What we look for.

• Strong probability and statistics.
• Strong programming and comfort working with data.
• Good judgment when the data is messy and the right model is not obvious.
• Clear written communication.
• Comfort working closely with underwriting and engineering.

Python is the most useful language for this role, but the specific language matters less than your ability to build simulations, evaluate models, and explain your results. Finance or insurance experience is helpful but not required.

What you'll do.

• Build quantitative models for AI work product risk.
• Work with underwriting to define exposure variables and evaluate submissions and claims.
• Estimate frequency and severity, study aggregation, and test pricing logic.
• Build tools that help underwriters make consistent decisions.
• Write internal research that feeds directly into underwriting decisions.

Independent work. We value evidence that you can work through an open-ended problem: a thesis, research project, competition, open-source project, forecasting project, data science project, simulation, paper replication, agent experiment, or another project with a clear result.

Compensation and benefits. Base salary is $225,000. Compensation includes equity. Benefits include 100% employer-covered medical, dental, and vision insurance and 15 days of PTO.

Apply. Email hiring@qualifiedintelligence.com with a resume or LinkedIn profile and a short note about a project or paper you are proud of. If you have built something with AI, send that too.