Negotiable
Undetermined
Remote
United Kingdom
Summary: The role of Life/Health Actuary at Mercor, facilitated by Crossing Hurdles, involves extracting and validating policy-level data for actuarial projections. The position is flexible, allowing for 10 to 40 hours of remote work per week, and requires strong experience in actuarial data processing. Candidates will work with various life insurance policy administration systems and must demonstrate proficiency in data quality tools and documentation.
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.
Key Skills:
- Strong 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.
Salary (Rate): £100.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with the world’s leading AI research labs to build and train cutting-edge AI models.
Organization: Mercor
Position: Life/Health Actuary
Referral Partner: Crossing Hurdles
Type: Hourly contract
Compensation: $75–$100 per hour
Location: Remote
Commitment: 10–40 hours/week, flexible and asynchronous
Duration: Flexible
Role 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:
- Strong 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.
Application Process (Takes 20 min):
- Submit your resume
- AI interview based on your resume (15 min)
- Submit form