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Actuarial Analyst - Fully Remote | Upto $80/hr

Role overview

Qualifications

  • 2+ years of professional actuarial experience (any practice area).
  • Understand how methods, assumptions, and data drive pricing, reserves, and valuation.
  • Excellent quantitative analysis, balanced judgment, and high attention to detail.
  • Ability to distinguish actuarial analysis from underwriting decisions and from formal financial or legal advice.

Responsibilities

  • Design realistic scenarios involving ratemaking, loss reserving, valuation, experience studies, assumption-setting, and profitability analysis.
  • Create work products such as pricing models, reserve reviews, actuarial memoranda, technical assumptions, and results summaries.
  • Write 'golden' reference responses at experienced actuarial-professional quality.
  • Grade AI-generated responses against structured rubrics for methodological soundness, calculation accuracy, assumption justification, and clear communication.

Key facts

Hard skills

Other skills

  • Detail Oriented
  • Communication

About the company

Mercor logo

Mercor

Job Boards & Talent Marketplaces

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

Company details

IndustryJob Boards & Talent Marketplaces
Company size51 - 200

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Job description

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: Insurance Actuarial Specialists
Type: Contract
Compensation: $80/hour
Location: Remote
Commitment: 20–40 hours/week

Role Responsibilities

  • Design realistic scenarios involving ratemaking, loss reserving, valuation, experience studies, assumption-setting, and profitability analysis.
  • Create work products such as pricing models, reserve reviews, actuarial memoranda, technical assumptions, and results summaries.
  • Write "golden" reference responses at experienced actuarial-professional quality.
  • Grade AI-generated responses against structured rubrics for methodological soundness, calculation accuracy, assumption justification, and clear communication.
  • Identify flawed methods, calculation errors, unsupported assumptions, and gaps in documented rationale.
  • Provide written feedback the research team uses to improve model behavior.

Qualifications

Must-Have

  • 2+ years of professional actuarial experience (any practice area).
  • Understand how methods, assumptions, and data drive pricing, reserves, and valuation.
  • Ability to select an appropriate method, run the analysis, and articulate a defensible conclusion with a documented rationale.
  • Excellent quantitative analysis, balanced judgment, and high attention to detail.
  • Ability to distinguish actuarial analysis from underwriting decisions and from formal financial or legal advice.

Preferred

  • ASA, FSA, ACAS, FCAS, CERA, MAAA, or comparable credential (or actively passing exams).
  • Experience across multiple practice areas or specialty lines.
  • Reinsurance, capital modeling, or enterprise risk experience.
  • Proficiency with R, Python, SAS, SQL, or actuarial software (Prophet, Emblem, Radar, ResQ).
  • Experience with regulatory filings, rate filings, or statements of actuarial opinion.

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

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

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

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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