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Insurance Domain Expert – SME
TransPerfectInsurance Expert guiding AI model development across underwriting, claims, risk, pricing, and policy retention. Ensuring accuracy and compliance in AI applications within the insurance domain.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in evaluating AI models within the insurance sector, focusing on underwriting, claims processing, and risk assessment. Proficient in identifying model limitations and ensuring compliance with regulatory standards while enhancing model transparency.
Highest-signal resume keywords
5+ Years Insurance Industry ExperienceAI Model EvaluationPrompt EngineeringInsurance Regulatory ComplianceAnalytical Problem-Solving
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Algorithm RefinementRisk ModelingData AnnotationModel Performance MetricsInsurance Policy Structures
Soft Skills
Analytical SkillsCommunication Skills
Tools & Technologies
LLM Evaluation FrameworksExplainable AI Frameworks
Certifications & Qualifications
Bachelor's Degree in InsuranceMaster's Degree in Risk Management
Industry Keywords
UnderwritingClaims ProcessingRisk AssessmentInsurance RegulationsCompliance Standards
About the role
Key responsibilities & impact- Collaborate with AI, data science, and product teams to evaluate AI models used in underwriting, claims processing, risk assessment, and pricing.
- Identify gaps, biases, and limitations in existing models and contribute domain insights for improvement.
- Validate AI outputs against real-world insurance practices, regulatory requirements, and customer experience standards.
- Define key metrics and success criteria to measure model performance and business relevance.
- Support data labeling and annotation by providing insurance-specific context and expertise.
- Assist in designing explainable AI frameworks to enhance model transparency and trustworthiness.
- Stay current with insurance regulations, compliance standards, and emerging AI applications in the sector.
Requirements
What you’ll need- 5+ years of experience in the insurance industry (underwriting, claims, risk modeling, policy, or product management).
- Hands-on experience in at least two of the following: prompt engineering or refinement of AI algorithms, rubric and “golden response” development, LLM evaluation/quality frameworks, or AI-driven financial/insurance analysis.
- Strong understanding of insurance operations, policy structures, and regulatory frameworks.
- Bachelor’s or Master’s degree in Insurance, Risk Management, Actuarial Science, Business, or a related field.
- Strong analytical, communication, and problem-solving skills.
Benefits
Comp & perks- Flexible working arrangements