Life/Health Actuaries
4 days ago
Role Overview Mercor is collaborating with a global insurance and financial services client to support actuarial modeling processes via high-quality data preparation. We are seeking actuarial professionals with experience in seriatim data extraction, cleansing, and validation from life insurance policy administration systems. This opportunity centers around ensuring reliable, audit-ready datasets for valuation, modeling, and financial reporting workflows. This is a short-term, project-based opportunity with high autonomy and clearly scoped deliverables.
Key Responsibilities
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Extract policy-level data for a given valuation date from systems such as FAST, OIPA, or Sapiens.
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Validate record counts against control totals and identify missing or inconsistent fields.
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Reconcile in-force movements between periods, including new issues and terminations.
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Identify and flag policies with anomalous data for manual review.
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Map product codes to actuarial model inputs and document data assumptions.
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Deliver a clean, formatted dataset suitable for actuarial projection software.
Ideal Qualifications
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5+ years of experience in actuarial data processing or valuation support.
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Familiarity with life insurance policy administration systems (e.g., OIPA, FAST, LIFE/400).
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Proficiency with Excel and data quality tools; basic scripting knowledge (SQL, Python) is a plus.
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Strong attention to detail and understanding of actuarial data structures.
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Ability to clearly document data anomalies and reconciliation logic.
More About the Opportunity
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Remote and asynchronous — control your own work schedule
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Expected commitment: min 30 hours/week
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Project duration: ~6 weeks
Compensation & Contract Terms
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$75–100/hour
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Independent contractor arrangement
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Paid weekly via Stripe Connect
Application Process
- Submit your resume followed by domain expertise interview and short form
About Mercor
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Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations.
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Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey.
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Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.
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