Associate Actuary - Analytics
An Associate Actuary is responsible for, but not limited to, design, development, and application of methods and procedures to collect, analyze, and interpret statistical data relating to product pricing and design, and loss reserving analysis.
Responsibilities of an Associate Actuary - Analytics- Demonstrates the Company's mission, while successfully performing its core values related to integrity, service, excellence, stability, strength, respect, and teamwork.
- Ensure data quality for analyses by validating input data, troubleshooting discrepancies, and identifying improvements.
- Develop and maintain actuarial datasets, recommend enhancements for data processes to improve accuracy and usability.
- Independently perform actuarial and analytical analyses to solve business problems.
- Develop, maintain and validate actuarial systems, models, data, reporting and procedures to ensure that these are aligned with business needs and fit for purpose.
- Create new models and analytical tools to assist other functional areas of the Company.
- Collaborate with other business units to provide analytical support for ad hoc projects and initiatives, applying actuarial techniques to address emerging business questions and contribute to strategic decision-making.
- Maintain awareness of current and emerging statistical methods and technologies related to predictive analytics.
- Analyze and interpret data, draw business inferences, and clearly articulate findings for target audiences.
- Develop and improve existing actuarial tools, methods, and procedures.
- Support the development and training of peers in the Actuarial department.
- Regular and timely attendance in the office is an essential function of the position.
Skills and Qualifications of an Associate Actuary - Analytics- Bachelor's degree in actuarial science, mathematics, statistics, or a related field required.
- Associate of the Casualty Actuarial Society (ACAS) required.
- A minimum of four years' experience within the actuarial field or related area is preferred.
- Experience with P&C pricing and reserving is preferred.
- Proficient in Microsoft Office programs, with advanced skills in Excel.
- Advanced programming skills in languages such as VBA, Python, R, SQL, etc.
- Experience with extracting and manipulating large datasets.
- Strong quantitative and analytical abilities.
- Excellent written and verbal communication skills.
- Self-motivated, detail-oriented, and capable of working independently and collaboratively.
