Insurance Capital & Underwriting Evaluation Expert
Micro1 • Remote • Posted 138 days ago
Education
Any
Type
Pay Rate
$150/task
Posted
138d ago
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Job Summary
Join our customer’s team as an Insurance Capital & Underwriting Evaluation Expert, leveraging your insurance and actuarial expertise to enhance underwriting rigor, benchmark capital models, and refine risk evaluation standards. This flexible, remote role is perfect for seasoned professionals passionate about impactful written and verbal communication and committed to setting industry-leading standards in underwriting and capital assessment.
Key Responsibilities
Review underwriting packages, pricing models, reserving analyses, and actuarial memos for technical accuracy and commercial soundness Assess capital modeling frameworks, loss projections, reinsurance structures, and solvency-driven constraints to ensure robust risk management Evaluate underwriting assumptions, scenario models, and exposure analyses in line with the customer’s risk appetite Deliver structured, high-quality written feedback on methodologies, data integrity, and risk-adjusted decision making Participate in evaluation panels to benchmark underwriting quality and analytical rigor Contribute expertise across P&C, Life, Specialty, and Reinsurance lines to elevate best practices Support the differentiation and development of underwriting proficiency based on risk assessment maturity
Required Skills and Qualifications
5+ years’ experience in insurance underwriting, actuarial science, reinsurance, risk modeling, or capital management Proficiency with loss triangles, pricing models, reserves, RBC/Solvency metrics, and capital adequacy frameworks Expertise in evaluating underwriting memos, risk transfer structures, and portfolio risk aggregation Exceptional written and verbal communication skills, with a strong focus on technical feedback and evaluation Deep understanding of regulatory and solvency frameworks (e.g., Solvency II, RBC, IFRS 17) Ability to synthesize and communicate domain knowledge across diverse insurance lines
Preferred Qualifications
Experience in carrier or reinsurer underwriting, actuarial pricing, risk analysis, or specialty lines Relevant credentials such as ACAS/FCAS, ASA/FSA, CFA, FRM, or CERA Exposure to reinsurance structuring, treaty analysis, or catastrophe modeling
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Finance
Key Responsibilities
- Review underwriting packages, pricing models, reserving analyses, and actuarial memos for technical accuracy and commercial soundness
- Assess capital modeling frameworks, loss projections, reinsurance structures, and solvency-driven constraints to ensure robust risk management
- Evaluate underwriting assumptions, scenario models, and exposure analyses in line with the customer’s risk appetite
- Deliver structured, high-quality written feedback on methodologies, data integrity, and risk-adjusted decision making
Compensation Analysis
Rare opportunity for top 1% experts. Earn $150/hr contributing to the world's most advanced AI labs. This is one of the few roles where academic precision is valued as highly as commercial output.
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Frequently Asked Questions
How is this different from the others?
Global Access. Micro1 is more open to international applicants (outside the US/UK) than DataAnnotation or Outlier.
What is the catch?
Privacy. Micro1 projects often require you to install time-tracking software that takes screenshots of your desktop while you work to ensure you are actually working. If you are uncomfortable with monitoring software, this might not be for you.
Is this traditional consulting?
Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.
Why is the pay so high?
This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"—the rare, difficult, or highly technical nuances that only a senior professional would know.
What is the workload like?
This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.
What is the interview like?
You will likely be screened by "Zara", an AI recruiter. Treat this like a real video interview—speak clearly, ensure you have good lighting, and be ready to answer technical questions verbally, as the transcript is reviewed by human managers.