Actuarial Intern - P&C Analytics (Hybrid)

Oliver Wyman; Charlotte (NC); Híbrido; USD 61 000 - 73 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid working

Training & mentoring

Resumo da oferta

Oliver Wyman's Actuarial Practice in the United States is offering a Summer Internship role for an Actuarial Intern – Property & Casualty (P&C). You will support actuarial analyses, compile and analyze data, and contribute to client-ready analyses.

Ideal candidates are pursuing Actuarial Science or related field, Class of 2028 or 2029, with strong analytical skills and proficiency in Excel and at least one of R, Python, SQL, SAS, or VBA. Hybrid work available.

Qualificações

• Pursuing a degree in Actuarial Science, Mathematics, Statistics, or a related field.
• Class of 2028 or 2029 with interest in CAS track.
• Strong analytical and quantitative skills.
• Excellent written and verbal communication.
• Ability to manage multiple priorities in a fast-paced environment.
• Collaborative mindset with the ability to work independently.

Responsabilidades

• Support actuarial analyses related to reserving, pricing, loss forecasting, and risk financing programs.
• Compile, organize, and analyze data to develop exhibits and summarize key findings.
• Assist with industry research, benchmarking studies, and business intelligence initiatives.
• Collaborate with consultants and actuaries to develop client-ready analyses and deliverables.

Conhecimentos

Analytical skills

Quantitative skills

Written & verbal communication

Multitasking in fast-paced environment

Independent & collaborative work

Formação académica

Actuarial Science / Mathematics / Statistics or related field

Class of 2028 or 2029

Ferramentas

Excel

R

Python

SQL

SAS

VBA

Descrição da oferta de emprego

Oliver Wyman's Actuarial Practice in the United States is offering a Summer Internship role for an Actuarial Intern – Property & Casualty (P&C). You will support actuarial analyses, compile and analyze data, and contribute to client-ready analyses.

Ideal candidates are pursuing Actuarial Science or related field, Class of 2028 or 2029, with strong analytical skills and proficiency in Excel and at least one of R, Python, SQL, SAS, or VBA. Hybrid work available.