Job Description

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

Extract policy-level data for a given valuation date from systems such as FAST, OIPA, or Sapiens. Validate record counts against control totals and identify missing or inconsistent fields. Reconcile in-force movements between periods, including new issues and terminations. 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.

Ideal Qualifications

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.

More About the Opportunity

Remote and asynchronous -- control your own work schedule

Expected commitment: min 30 hours/week

Project duration: ~6 weeks

Compensation & Contract Terms

$75-100/hour Independent contractor arrangement Paid weekly via Stripe Connect

Application Process

Submit your resume followed by domain expertise interview and short form

About Mercor

Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey. * 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.