Actuarial Analyst I (Mid-Level)

The Opportunity

This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within 60 miles of a USAA office will be expected to work on-site 4 days per week.

What you'll do

• Independently applies complex technical and actuarial methodologies, as well as proficient actuarial knowledge, to complete unstructured projects (e.g., selects and ensures quality of data used to perform trend analysis; supports rate level indications; translates business problem into technical requirements; runs catastrophe models and interprets and communicates results to support business activities while executing and enhancing a strong control environment with guidance from an experienced catastrophe modeler).
• Utilizes actuarial, mathematical, or statistical techniques to augment actuarial work product.
• Creates and delivers training to teammates on mechanics of actuarial tools and processes.
• Applies understanding of products supported, stakeholders' needs, and industry trends to solve unstructured business problems.
• Identifies compliance gaps and process improvements and recommends develop solutions.
• Led unit initiatives and participates in cross-functional efforts as a technical subject matter expert.
• Effectively communicates insights and solutions to all audiences, including executive leadership.
• Synthesizes complex and conflicting information into a clear and influential value proposition.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have

• 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.
• 4 years of Actuarial or analytical business experience.
• No more than 2 Casualty Actuarial Society (CAS) exams away from Associate of the Casualty Actuarial Society (ACAS) Credential and All Validation of Education Experience (VEEs) completed.
• Demonstrated competency with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
• Intermediate 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.
• Experience communicating complex solutions and analysis to both technical and nontechnical audiences.

What sets you apart

• A passion for creative and innovative work that improves existing processes and creates new, repeatable and automated workflows that enhance team productivity.
• Basic understanding of GLM or GBM modeling algorithms.
• Intermediate knowledge of Model Risk Management, Model Governance, and Regulatory requirements.
• US military experience through military service or a military spouse/domestic partner.

Compensation

Compensation range: $103,450 - $186,210.

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.
• Variety of wellness programs.
• Career path planning and continuing education.

Qualifications

• 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.
• 4 years of Actuarial or analytical business experience.
• No more than 2 Casualty Actuarial Society (CAS) exams away from Associate of the Casualty Actuarial Society (ACAS) Credential and All Validation of Education Experience (VEEs) completed.
• Demonstrated competency with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
• Intermediate 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.
• Experience communicating complex solutions and analysis to both technical and nontechnical audiences.