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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building actuarial models, with proficiency in Python and experience in P&C work. Capable of transforming complex data into strategic insights while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Actuarial ModelingPython ProficiencyP&C Work ExperienceSAS ExperienceVBA 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 ScienceData ScienceMathematicsStatisticsProblem-SolvingAnalytical SkillsSoftware Engineering Best PracticesModularityCode ReuseDocumentation
Soft Skills
Excellent Communication SkillsCollaborative ApproachEagerness to LearnMentoring
Certifications & Qualifications
CAS Exams
Industry Keywords
Loss CostsCustomer DemandModel MonitoringPerformance DeteriorationPortfolio ShiftsEmerging Segment BehaviorData Science PracticesBusiness ObjectivesStrategic InsightsPricing Strategies
Tech Stack
Tools & technologiesPythonVBA
About the role
Key responsibilities & impact- Design and build advanced actuarial models to predict loss costs and customer demand
- Support model monitoring and validation, including identifying performance deterioration, portfolio shifts, and emerging segment behavior
- Collaborate with data scientists, underwriters, and actuarial professionals to align analytical solutions with business objectives
- Communicate practical recommendations based on insights and model results
- Mentor colleagues, share actuarial expertise, and contribute to the evolution of data science practices
- Transform complex data into strategic insights that drive business decisions and pricing strategies
Requirements
What you’ll need- Undergraduate degree in Actuarial Science, Data Science, Mathematics, Statistics, or a related field
- Minimum of 3–5 CAS exams
- Minimum 3 years of P&C work experience
- Actuarial curiosity to learn and explore new solutions
- Strong problem-solving and analytical skills
- Proficiency in Python
- Familiarity with software engineering best practices, including modularity, code reuse, and documentation
- Excellent communication skills and ability to explain complex concepts to diverse audiences
- Collaborative approach and eagerness to learn and grow within a high-performing team
- Experience with SAS and VBA
Benefits
Comp & perks- Eligibility for annual bonus
- Retirement savings
- Share plan
- Health benefits
- Personal wellness
- Volunteer opportunities
- Hybrid flexible work model
- Outstanding career development opportunities
- Professional development education support
- Competitive vacation package
- Option to purchase 5 extra days off per year
- Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion
- Corporate wellness programs supporting physical and mental health
- Employee discount on home and auto insurance (where applicable)
