Actuarial Associate — Pricing & Modeling

UAI Allied World Insurance Company; New York (NY); On-site; USD 51,000 - 85,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Disability insurance

401k with company match

Group Term Life Insurance

Job summary

Allied World Insurance Company in New York, NY seeks an entry-level Actuarial Pricing Analyst to support the pricing of individual treaty submissions. You will assist in model testing, prepare data for pricing databases, and analyze industry data for pricing tools, while pursuing casual actuarial society exams.

Ideal candidates hold a math-based degree, 0–2 years of related experience, proficiency in Excel, and a willingness to grow professionally through mentoring and on-the-job training.

Qualifications

• Bachelor’s degree in actuarial science, mathematics, or another technical major.
• 0–2 years related work experience.
• Completion of at least one Casualty Actuarial Society (CAS) actuarial exam.
• Recent actuarial internship experience is preferred.
• Proficiency in Microsoft Excel is required.
• Knowledge of VBA and SAS is preferred.
• Strong communication skills and the ability to prioritize efficiently.

Responsibilities

• Assist in pricing individual treaty submissions.
• Contribute to the testing and improvement of actuarial models.
• Collect and analyze industry data for usage within pricing tools.
• Prepare data for inclusion in pricing database.
• Meet with brokers and clients as required.
• Complete Casualty Actuarial Society designation (or equivalent).

Skills

Communication skills

Prioritization

Education

Bachelor’s degree in actuarial science or related field

Tools

Excel

VBA

SAS

Job description

Allied World Insurance Company in New York, NY seeks an entry-level Actuarial Pricing Analyst to support the pricing of individual treaty submissions. You will assist in model testing, prepare data for pricing databases, and analyze industry data for pricing tools, while pursuing casual actuarial society exams.

Ideal candidates hold a math-based degree, 0–2 years of related experience, proficiency in Excel, and a willingness to grow professionally through mentoring and on-the-job training.