Remote AI-Driven Actuarial Risk Specialist

Weekday AI; United States; À distance; USD 143 270 000 - 171 924 000; Temps partiel

Résumé du poste

Weekday AI is seeking a Risk & Actuarial AI Expert to join our growing team. This part-time/contract role blends actuarial science with advanced analytics to improve underwriting profitability and risk decision-making across portfolios.

The ideal candidate has strong skills in loss and combined ratio analysis, catastrophe modeling, and AI/ML applied to insurance, with proficiency in Python or R and cloud analytics platforms.

Qualifications

• Bachelor's or Master’s in Actuarial Science, Mathematics, Statistics, Data Science, or related field.
• Progress toward actuarial certification (IFoA, SOA, or equivalent) preferred.
• 2–8 years of experience in actuarial analysis, risk management, or insurance analytics.
• Strong expertise in loss ratio and combined ratio analysis.
• Proven experience in portfolio risk assessment and risk modeling.
• Hands‑on experience with catastrophe modeling tools and exposure management frameworks.
• Proficiency in programming (Python/R) and data visualization tools.
• Familiarity with machine learning techniques and their application in insurance.

Responsabilités

• Evaluate and optimize portfolio performance through loss ratio and combined ratio analysis.
• Conduct portfolio risk assessments and evaluate exposure across lines of business.
• Model catastrophe risk and exposure using modern AI/ML techniques.
• Collaborate with underwriting, finance and product teams to align risk with business objectives.

Connaissances

Loss ratio analysis

Combined ratio analysis

Portfolio risk

Catastrophe modeling

Python

R

ML in insurance

Stakeholder comms

Formation

Bachelor’s or Master’s in Actuarial Science/Math/Stats/Data Science

Actuarial certification in progress preferred

Outils

Python

R

Cloud analytics platforms

Description du poste

Weekday AI is seeking a Risk & Actuarial AI Expert to join our growing team. This part-time/contract role blends actuarial science with advanced analytics to improve underwriting profitability and risk decision-making across portfolios.

The ideal candidate has strong skills in loss and combined ratio analysis, catastrophe modeling, and AI/ML applied to insurance, with proficiency in Python or R and cloud analytics platforms.