Applies advanced actuarial knowledge to complete broad and complex projects (e.g., evaluates and selects methodology to price new discount/endorsement for countrywide rollout; develops alternative methodologies to comply with complex regulatory requirements; selects metrics and designs processes to monitor model performance; translates business problems into technical requirements and performs required analysis to develop solutions; independently runs catastrophe models and interprets and communicates results to support critical business activities, while enhancing the control environment as needed. Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.