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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in actuarial methodologies and data analysis, with a strong ability to connect technical insights to business problems. Proficient in developing analytical tools and mentoring team members while ensuring compliance with industry standards.
Highest-signal resume keywords
Actuarial MethodologiesData Analysis ToolsPython ProgrammingCasualty Actuarial Society ExamsPersonal Lines Pricing Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Actuarial MethodologiesStatistical TechniquesData AnalysisGLM ModelingGBM ModelingPython ProgrammingR ProgrammingSQLSASBI Tools
Soft Skills
CommunicationMentoringProblem-SolvingBusiness AcumenCollaboration
Tools & Technologies
EarnixData Visualization ToolsActuarial Tools
Certifications & Qualifications
Casualty Actuarial Society Exams
Industry Keywords
Model Risk ManagementModel GovernanceRegulatory RequirementsRisk ManagementData Science
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Independently apply actuarial methodologies to complete structured projects
- Build tools to test and implement new methodologies that improve actuarial analysis accuracy
- Use model results to select new variables and refresh existing variables in rating algorithms
- Analyze results from multiple methodologies to propose reserve selections and document rationale
- Identify and improve existing processes using actuarial, mathematical, or statistical techniques
- Proactively resolve technical issues and identify appropriate issues for escalation
- Assist others with troubleshooting issues
- Create instructions and training materials for actuarial tools and processes
- Mentor new team members
- Apply business acumen to provide actionable insights that help solve business problems
- Communicate insights and solutions to actuarial and non-actuarial stakeholders
- Identify, measure, monitor, and control risks associated with business activities in accordance with risk and compliance policies and procedures
- Support Auto and Property data science teams building loss, acquisition, retention, and lifetime value models
Requirements
What you’ll need- Bachelor's degree; OR 4 years of relevant education and/or experience
- 2 years of Actuarial or analytical business experience
- 3 Casualty Actuarial Society (CAS) exams
- Experience with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making
- Intermediate knowledge of data analysis tools and data visualization
- Experience developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software
- Knowledge of relevant industry data and methods
- Ability to connect technical insights to business problems
- Must not require immigration support or visa sponsorship now or in the future
- Personal Lines Pricing Experience
- Basic understanding of GLM or GBM modeling algorithms
- Basic knowledge of Model Risk Management, Model Governance, and Regulatory requirements
- Earnix experience
- US military experience through military service or a military spouse/domestic partner
Benefits
Comp & perks- Comprehensive medical, dental and vision plans
- 401(k)
- Pension
- Life insurance
- Parental benefits
- Adoption assistance
- Paid time off program
- Paid holidays
- 16 paid volunteer hours
- Various wellness programs
- Career path planning
- Continuing education
- Pay incentives based on overall corporate and individual performance, at the discretion of the USAA Board of Directors
- Remote or hybrid flexibility may be available for active-duty military spouses, consistent with applicable policy and business needs
