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Mercor

Actuarial Data Analytics Analyst

5-7 Years
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  • Posted 8 days ago
  • Be among the first 10 applicants
Early Applicant

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: P&C Actuary

Type:Contract

Compensation:$60$100/hour

Location:Remote

Duration:6 weeks

Commitment:30+ hours/week

Role Responsibilities

  • Build and analyze loss development triangles for paid and incurred data.
  • Calculate, compare, and select age-to-age and cumulative development factors.
  • Estimate ultimate losses and IBNR reserves using factor-based projections.
  • Perform rate indication calculations including trending and premium on-leveling.
  • Select frequency and severity trends with supporting documentation.
  • Conduct large loss load analyses using capping and truncation techniques.
  • Prepare reserve exhibits and filing-ready workpapers in Excel and PDF formats.

Qualifications

Must-Have

  • 5+ years of experience in property and casualty actuarial roles.
  • Familiarity with Workers Compensation, Auto, Umbrella, or General Liability lines.
  • Proficiency with Arius, ResQ, R ChainLadder, or similar reserving tools.
  • Strong skills in Excel, with experience auditing and constructing complex models.
  • Solid understanding of insurance data sources such as Guidewire or Duck Creek.
  • Excellent documentation and communication skills, especially in technical contexts.

Compensation & Legal

  • Independent contractor arrangement
  • Paid weekly via Stripe Connect

Application Process (Takes 2030 mins to complete)

  • Submit your resume followed by domain expertise interview and short form

Resources & Support

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

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

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About Company

Job ID: 135389409