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Insurance Risk Analyst - Fully Remote | Upto $800/task Task based

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Insurance Risk Analyst - Fully Remote | Upto $800/task Task based

Mercor

Insurance Risk Analyst - Fully Remote | Upto $800/task Task based

Skills

SQL QueriesPythonRAIRisk Management

2 months ago

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Important information


Contract type:

Part time

Location:

United Kingdom

Work mode:

Remote

Published on:

31 August 2026

What they need


About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: P&C Actuary & Portfolio Risk Manager

Type: Contract Compensation: $800/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities

  • 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.

Qualifications Must-Have

  • 2+ years of professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, or portfolio risk management.
  • Experience in quantitative analysis using insurance premium, exposure, claim, loss, or reserve data.
  • Ability to explain methods, assumptions, limitations, and business implications clearly to technical and nontechnical audiences.
  • Strong quantitative reasoning, excellent written communication, and high attention to detail.
  • Proficiency with spreadsheets and at least one analytical or statistical tool.

Preferred

  • 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.

Start Date

  • Immediately; applications reviewed on a rolling basis.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,

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