At a Glance
- Tasks: Design realistic insurance scenarios and evaluate AI model outputs for accuracy.
- Company: Join a leading AI lab partnered with Mercor, shaping the future of insurance.
- Benefits: Flexible hours, competitive pay, and opportunities for professional growth.
- Other info: Immediate start with flexible working hours and a dynamic team environment.
- Why this job: Make a real impact in the insurance industry using cutting-edge AI technology.
- Qualifications: 2+ years in P&C actuarial work and strong quantitative analysis skills required.
The predicted salary is between 59400 - 72600 £ per year.
Mercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring P&C Actuaries and Portfolio Risk Managers to design realistic pricing, reserving, forecasting, and portfolio-management scenarios, evaluate model outputs against established actuarial standards, and help shape how the next generation of AI reasons quantitatively about insurance risk.
We welcome pricing actuaries, reserving actuaries, portfolio analysts, catastrophe-risk professionals, and actuarial managers from carriers, reinsurers, MGAs, and consulting firms.
What You'll Do
- Design realistic scenarios involving loss costs, rate indications, trend, development, credibility, segmentation, reserving, profitability, capital, catastrophe exposure, and portfolio concentration.
- Create work products such as pricing analyses, reserve reviews, portfolio diagnostics, assumption critiques, sensitivity analyses, and management recommendations.
- Write 'golden' reference responses at experienced actuarial and portfolio-risk quality.
- Grade AI-generated responses against structured rubrics for mathematical accuracy, assumption quality, methodology, interpretation, and communication.
- Identify calculation errors, unsupported assumptions, misuse of actuarial methods, confusing correlation with causation, and recommendations not supported by the data.
- Provide written feedback the research team uses to improve model behavior.
- Participate in onboarding office hours and calibration sessions.
You're a Good Fit If You
- Have 2+ years of professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, or portfolio risk management.
- Have performed quantitative analysis using insurance premium, exposure, claim, loss, or reserve data.
- Understand the difference between account-level underwriting judgment and portfolio-level actuarial analysis.
- Can explain methods, assumptions, limitations, and business implications clearly to technical and nontechnical audiences.
- Demonstrate strong quantitative reasoning, excellent written communication, and high attention to detail.
- Are proficient with spreadsheets and at least one analytical or statistical tool.
Bonus Qualifications
- ACAS, FCAS, or active progress toward CAS credentials.
- Experience with personal, commercial, specialty, or reinsurance portfolios.
- Catastrophe modeling, capital modeling, predictive modeling, or rate-filing experience.
- Proficiency with SQL, R, Python, SAS, or actuarial modeling platforms.
- Experience presenting results to underwriting, finance, claims, or executive stakeholders.
Role Highlights
- Minimum 20 hours per week (ideally 40+).
- Role starts immediately, applications reviewed on a rolling basis.
P&C Actuary - Risk Management employer: Mercor
Mercor is an exceptional employer that champions innovation and creativity in the AI sector, offering a fully remote work environment that promotes flexibility and independence. With a strong focus on employee growth, team members are encouraged to take ownership of their projects while benefiting from a supportive culture that values collaboration and continuous learning. Joining Mercor means being part of a forward-thinking company backed by industry leaders, where your contributions directly impact cutting-edge search technologies.
