We’ll count on you to:

• Assist in developing new, market-leading analytics-based tools to assess risk and in adapting existing models to new digital analytic tools and content delivery in an Agile environment.


• Learn and support the production and maintenance of existing reports, models and dashboards. Advise colleagues on data requirements. Troubleshoot issues and bugs. Collect and adapt internal and industry data. Interface with IT staff.


• Perform basic quantitative modeling and statistical analysis in order to assess risk and viability of risk mitigation solutions for internal and external clients.


• Demonstrate skill in statistical, actuarial, data science and research techniques, combined with a broader awareness of the business and ongoing research to function in a collaborative and consultancy role within the Data Science team and across the wider organization.

What you need to have:

• Bachelor’s Degree in Math, Statistics, Actuarial Science, Data Science or related field


• Actuarial experience in workers’ compensation and liability domains with a strong understanding of property and casualty actuarial techniques and their practical applications.


• Understanding of loss sensitive programs, excess liability, claim data, industry (NCCI, ISO) factors


• Statistical modeling knowledge, including familiarity with machine learning techniques


• Knowledge of modern programming languages such as Python, R, SAS, VBA or SQL


• Microsoft Office skills (particularly in Excel, including Visual Basic)

What makes you stand out:

• At least 5 actuarial exams passed and interest in pursuing designation from the Casualty Actuarial Society


• At least 3 years Actuarial work experience 


• Superior detail orientation, excellent communication and interpersonal skills