P&C Actuary & Portfolio Risk Manager
Company: Mercor · Pay: $80/hr · Location: Remote — Global · Type: contractor, full time · Posted: 2026-09-14
Revolutionizing Quantitative Risk Reasoning: Why Artificial Intelligence Needs Property & Casualty Actuaries
The Property and Casualty (P&C) insurance landscape has always been defined by complex calculations, rigorous statistical modeling, and deep domain expertise. From determining rate indications and managing catastrophic exposures to executing reserve reviews and preserving capital adequacy, actuaries form the bedrock of financial stability in the insurance industry. As artificial intelligence rapidly evolves, top-tier AI labs are turning their focus toward complex quantitative reasoning domains. Training frontier machine learning models to think like seasoned risk professionals requires more than generic algorithms—it demands elite human insight from experienced P&C actuaries and portfolio risk managers.
Through innovative platforms like Mercor, leading research organizations are connecting with credentialed and experienced actuarial professionals. The P&C Actuary & Portfolio Risk Manager role offers a lucrative, fully remote independent contracting opportunity paying $80 per hour (with an initial $800 onboarding flat fee for the first 10 estimated hours). This unique position empowers quantitative risk experts to shape the future of machine intelligence while maintaining complete schedule flexibility and earning competitive global compensation.
Comprehensive Job Description & Core Responsibilities
For pricing actuaries, reserving actuaries, portfolio analysts, and catastrophe-risk specialists looking to expand their professional horizons into artificial intelligence training, this role provides an intellectually stimulating environment. The core mission involves designing realistic actuarial scenarios, evaluating automated model outputs, and ensuring that machine learning systems adhere to rigorous actuarial standards.
Key Responsibilities Include:
- Scenario Design: Develop sophisticated, realistic scenarios involving loss costs, rate indications, trend and development factors, credibility weighting, risk segmentation, reserving, profitability, capital requirements, catastrophe exposure, and portfolio concentration.
- Work Product Creation: Author comprehensive professional reference materials, including detailed pricing analyses, reserve reviews, portfolio diagnostics, assumption critiques, sensitivity analyses, and executive management recommendations.
- Golden Reference Generation: Write definitive "golden" reference responses meeting the absolute highest standards of experienced actuarial and portfolio-risk quality.
- AI Output Grading: Evaluate and grade AI-generated responses against structured, rigorous rubrics covering mathematical accuracy, assumption validity, methodological appropriateness, interpretation, and professional communication.
- Error Detection: Critically identify calculation flaws, unsupported assumptions, misapplications of actuarial methods, flawed correlations, and recommendations not grounded in empirical data.
- Feedback Delivery: Provide clear, structured written feedback that AI research teams utilize directly to refine and optimize model behavior.
- Collaboration: Participate actively in onboarding office hours, calibration sessions, and alignment workshops with fellow risk professionals.
Candidate Qualifications & Professional Requirements
Because the models being trained will ultimately influence high-stakes financial reasoning and risk assessment, the qualification criteria reflect deep professional competence within the insurance sector.
- Professional Experience: 2+ years of dedicated professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, or portfolio risk management.
- Quantitative Proficiency: Demonstrated track record of performing complex quantitative analyses using premium, exposure, claim, loss, or reserve datasets.
- Strategic Understanding: Clear grasp of the critical distinctions between account-level underwriting judgment and portfolio-level actuarial analysis.
- Communication Skills: Proven ability to articulate intricate methods, underlying assumptions, limitations, and business implications clearly to both technical and non-technical stakeholders.
- Technical Tooling: High proficiency with advanced spreadsheets and at least one analytical or statistical programming environment.
Bonus Qualifications: Active ACAS, FCAS, or ongoing progress toward CAS credentials; specialized background across personal, commercial, specialty, or reinsurance portfolios; experience with catastrophe modeling, capital modeling, or regulatory rate filings; proficiency in SQL, R, Python, SAS, or specialized actuarial modeling platforms.
Onboarding Compensation, Contract Terms, and Global Payouts
Structuring independent contractor work through Mercor ensures transparent, reliable, and swift compensation terms tailored for elite independent experts:
- Lucrative Onboarding Structure: All experts receive a flat $800 upon successful completion of the onboarding process (estimated at approximately 10 hours of work), transitioning seamlessly to the standard $80/hour rate thereafter.
- Full Remote Autonomy: Complete your evaluation and scenario-design projects on your own schedule from anywhere within supported regions (including the United States, Canada, United Kingdom, and select global jurisdictions).
- Weekly Remuneration: Receive prompt weekly payments via secure global financial networks like Stripe or Wise based strictly on services rendered.
Why This Role Enhances Your Actuarial Career
Actuarial science is entering an era of unprecedented technological integration. Traditional corporate roles can sometimes lock professionals into repetitive cycles of regulatory filings and legacy system maintenance. By contrast, participating in frontier AI training allows you to operate at the cutting edge of quantitative innovation. You get to test the limits of machine reasoning, challenge flawed models with your expertise, and ensure that future artificial intelligence systems respect the mathematical rigour that governs modern risk management.
Furthermore, committing to a flexible contract—with expected time commitments ranging from 20 hours per week up to full-time availability—allows you to supplement your income or pivot toward AI advisory work while commanding an impressive $80/hour wage.
Secure Your Opportunity Today
Specialized AI training roles for credentialed actuaries and risk managers represent a rare intersection of high compensation and intellectual leadership. Early applicant pools fill quickly as AI labs scale their evaluation pipelines. If you have the background in P&C pricing, reserving, or portfolio risk management, take the next step in your career and submit your application today.
Responsibilities
- Scenario Design: Develop sophisticated, realistic scenarios involving loss costs, rate indications, trend and development factors, credibility weighting, risk segmentation, reserving, profitability, capital requirements, catastrophe exposure, and portfolio concentration.
- Work Product Creation: Author comprehensive professional reference materials, including detailed pricing analyses, reserve reviews, portfolio diagnostics, assumption critiques, sensitivity analyses, and executive management recommendations.
- Golden Reference Generation: Write definitive "golden" reference responses meeting the absolute highest standards of experienced actuarial and portfolio-risk quality.
- AI Output Grading: Evaluate and grade AI-generated responses against structured, rigorous rubrics covering mathematical accuracy, assumption validity, methodological appropriateness, interpretation, and professional communication.
- Error Detection: Critically identify calculation flaws, unsupported assumptions, misapplications of actuarial methods, flawed correlations, and recommendations not grounded in empirical data.
- Feedback Delivery: Provide clear, structured written feedback that AI research teams utilize directly to refine and optimize model behavior.
- Collaboration: Participate actively in onboarding office hours, calibration sessions, and alignment workshops with fellow risk professionals.
Qualifications
- Professional Experience: 2+ years of dedicated professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, or portfolio risk management.
- Quantitative Proficiency: Demonstrated track record of performing complex quantitative analyses using premium, exposure, claim, loss, or reserve datasets.
- Strategic Understanding: Clear grasp of the critical distinctions between account-level underwriting judgment and portfolio-level actuarial analysis.
- Communication Skills: Proven ability to articulate intricate methods, underlying assumptions, limitations, and business implications clearly to both technical and non-technical stakeholders.
- Technical Tooling: High proficiency with advanced spreadsheets and at least one analytical or statistical programming environment.