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Mercor

Life Insurance Actuarial Data Analyst

5-7 Years
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  • Posted 6 days ago
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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: Actuarial Data Specialist

Type:Independent Contractor

Compensation:$75$100/hour

Location:Remote

Duration:6 weeks

Commitment:30+ hours/week

Role Responsibilities

  • Extract policy-level data from systems like FAST, OIPA, or Sapiens for specific valuation dates.
  • Validate record counts against control totals and identify missing or inconsistent fields.
  • Reconcile in-force movements, including new issues and terminations, between periods.
  • Identify and flag policies with anomalous data for manual review.
  • Map product codes to actuarial model inputs and document data assumptions.
  • Deliver a clean, formatted dataset suitable for actuarial projection software.

Qualifications

Must-Have

  • 5+ years of experience in actuarial data processing or valuation support.
  • Familiarity with life insurance policy administration systems (e.g., OIPA, FAST, LIFE/400).
  • Proficiency with Excel and data quality tools; basic scripting knowledge (SQL, Python) is a plus.
  • Strong attention to detail and understanding of actuarial data structures.
  • Ability to clearly document data anomalies and reconciliation logic.

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: 135136705

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