Apply deep and broad actuarial knowledge to identify, define, and design solutions to complex problems with ambiguous requirements (e.g., end-to-end design of rate level indications process for a new product; independently shapes and transforms all aspects of machine learning and AI for a product: (data selection, model selection, stakeholder communications, performance monitoring, etc.);
independently runs catastrophe models for advanced ad-hoc analyses;
provides guidance and training to peers for running and validating the catastrophe models;
enhances current methodologies to tailor catastrophe model results to better represent USAA’s risk;
designs and performs broad and complex actuarial analyses that produces actionable insights for company-level decision-making designs reserving methodology and technical platform for new product.
Utilize advanced actuarial, mathematical, or statistical techniques to augment actuarial work product, methodologies, and procedures.
Lead special actuarial projects, such as the development of new pricing methodologies or reporting tools to impact LOB-level initiatives.
Provide thought and/or technical expertise on complex topics and influences key stakeholders on business decisions.
Lead cross-functional actuarial initiatives.
Strategically partner with IT to influence the design, alignment, and implementation of technical business standards.
Manage USAA vendor relationship(s).
Assist the business unit with translating strategic objectives into tactical solutions.
Maintain current knowledge of market trends and emerging risks and proactively develops strategies, policies, and processes to address them.
Develop written communication and presentations that effectively to convey data-driven solutions to broad audiences including cross-functional executive leadership.
Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Requirements

Bachelor’s degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
8 years of Actuarial or analytical business experience + Associate of the Casualty Actuarial Society (ACAS) Credential held for 3 years; OR 6 years of Actuarial or analytical business experience + Fellow of the Casualty Actuarial Society (FCAS) Credential.
Demonstrated expertise with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
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.
Demonstrated experience communicating complex solutions and analysis to cross-functional audiences, including executive leadership.

Benefits

comprehensive medical, dental and vision plans
401(k)
pension
life insurance
parental benefits
adoption assistance
paid time off program with paid holidays plus 16 paid volunteer hours
various wellness programs
career path planning and continuing education

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

actuarial techniquesstatistical techniquesmathematical techniquescatastrophe modelingdata analysisdata visualizationPythonRSQLSAS

Soft Skills

communicationleadershipstakeholder managementproblem-solvingtrainingcollaborationstrategic thinkinganalytical thinkinginfluencingpresentation skills

Certifications

Bachelor's degreeAssociate of the Casualty Actuarial Society (ACAS)Fellow of the Casualty Actuarial Society (FCAS)