Remote P&C Associate Actuary (ACAS) — Pricing & Reserving

Smith Hanley

Lincoln (NE)

Hybrid

USD 150.000 - 175.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Smith Hanley is seeking an Associate Actuary in the P&C area to perform rate adequacy analyses, maintain actuarial datasets, and support financial reporting through loss reserve analysis. This role also collaborates with business units on strategic initiatives and helps enhance actuarial tools and methodologies.

The position requires strong coding skills (VBA, Python, R, SQL), excellent communication, and the ability to extract and manipulate large datasets, with mentoring responsibilities for

Qualifikationen

  • ACAS designation required with degree in actuarial science, mathematics, or related field.
  • Four+ years actuarial experience, preferably in P&C pricing and reserving.
  • Proficient in Microsoft programs with advanced Excel skills.
  • Strong programming skills (VBA, Python, R, SQL).

Aufgaben

  • Perform rate adequacy analyses.
  • Maintain actuarial datasets and implement rate changes.
  • Support financial reporting through loss reserve analysis.
  • Collaborate with business units on strategic initiatives.
  • Enhance actuarial tools and methodologies; ensure data integrity.
  • Provide mentorship and training to actuarial peers.

Kenntnisse

Data extraction & manipulation
Communication skills
Analytical thinking

Ausbildung

ACAS designation
Degree in actuarial science/mathematics

Tools

VBA
Python
R
SQL
Excel (advanced)

Jobbeschreibung

Smith Hanley is seeking an Associate Actuary in the P&C area to perform rate adequacy analyses, maintain actuarial datasets, and support financial reporting through loss reserve analysis. This role also collaborates with business units on strategic initiatives and helps enhance actuarial tools and methodologies.

The position requires strong coding skills (VBA, Python, R, SQL), excellent communication, and the ability to extract and manipulate large datasets, with mentoring responsibilities for

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