Actuarial Senior Associate, Excess Casualty Pricing
N
NationwideP&C insurance
This position could be filled within any of the lower 48 U.S. states.Full-TimeSenior
Salary118,000 - 178,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- Generally, six or more years of actuarial experience.
- Required Skills
- Data MiningMicrosoft Office
Requirements
- Have an undergraduate degree in actuarial science, mathematics, statistics, data science, or a similar quantitative field.
- Have generally six or more years of actuarial experience.
- Generally have attained ACAS and be working toward FCAS or have recently attained FCAS.
- Have detailed knowledge of actuarial business functions, statistical methods, actuarial models, actuarial software, and databases.
- Be proficient in Microsoft Office products, analytical software, and programming languages.
- Demonstrate expertise in modeling, validation, and predictive modeling.
- Be able to work independently using advanced actuarial and business knowledge.
- Have experience leading cross-functional teams and developing strategic work plans.
- Demonstrate strong analytical skills.
Responsibilities
- Source and manipulate data using actuarial methodologies and standard requirements.
- Conduct complex analyses by selecting data sources, making assumptions, evaluating considerations, and developing recommendations.
- Document actuarial assumptions, methods, sources, considerations, models, and analyses.
- Prepare and present actuarial findings and documents for technical and non-technical audiences, including senior Actuarial leadership.
- Develop cross-functional work plans and ensure accurate work product is delivered.
- Lead cross-functional peer reviews to support collaboration, quality, and innovation.
- Build business relationships and lead communication with team members, customers, and business partners.
- Lead onboarding and training for new associates and assist in creating training materials.
- Apply data mining and predictive modeling techniques to identify relationships in data and make recommendations.
- Explore new software packages and make recommendations.
View Full Description & ApplyYou'll be redirected to the employer's site