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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical analysis and model validation, with proficiency in programming languages such as VBA, SQL, R, and Python. Strong analytical and problem-solving skills are essential for providing actuarial support and communicating findings effectively.
Highest-signal resume keywords
Statistical AnalysisModel ValidationVBA ProgrammingSQL ProficiencyPython 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
Statistical MethodsData AnalysisModel Stress TestingActuarial SupportDocumentation Creation
Soft Skills
Attention To DetailAnalytical SkillsProblem-SolvingIndependenceTeam Collaboration
Tools & Technologies
VBASQLRPythonTableau
Industry Keywords
Actuarial ToolsData QualityUnderwritingResearch And DevelopmentAI Fluency
Tech Stack
Tools & technologiesPythonSQLTableauVBA
About the role
Key responsibilities & impact- Apply statistical methods for comprehensive analysis
- Stress-test internal models to ensure output meets expectations and customer demand
- Identify bugs and corner cases in internal models
- Interpret and validate key findings with team members
- Communicate analysis results to internal and external customers
- Continuously validate and adapt models to changing environments
- Participate in internal research and development activities
- Provide analytical and actuarial support to team members
- Identify relevant public information and data sources for underwriting and actuarial tools
- Review data sources for consistency, deficiencies, accuracy, and quality
- Create documentation for modules used in internal tools
Requirements
What you’ll need- Organization, attention to detail, confidentiality, thoroughness, independence, ability to analyze information, results driven, bias toward efficiency
- Ability to work independently and in a team environment
- Excellent analytical and problem-solving skills
- Hands-on experience with VBA, SQL, R, Python, Tableau or other statistical software
- Bachelor’s degree in a related quantitative discipline such as statistics, actuarial or data science, economics, mathematics and/or relevant work experience
- 3 to 5 years of relevant work experience
- AI fluency, curiosity about AI, and willingness to learn and thoughtfully apply AI tools
- Equal opportunity employer; no stated work authorization requirement
Benefits
Comp & perks- Generous healthcare benefits with dental and vision coverage
- Flexible working hours
- Option to work from home when necessary
- Opportunity to participate in a secondment program
- Company supported mentorship program
- Collaborative, respectful, and empathetic culture