Insurance Policy Administration AI Expert

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🕒 April 21

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

☁️ SaaS

🎯 Recruiter

Human Resources • SaaS • Recruitment

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Design, develop, and implement AI-driven solutions to streamline end-to-end policy administration processes, including policy issuance, mid-term endorsements, and renewals. • Analyze and interpret complex insurance policy coverage, translating business rules into scalable AI/ML models and decision frameworks. • Collaborate with underwriting, operations, and compliance teams to automate policy workflows while maintaining high accuracy and auditability. • Build intelligent systems for document processing, policy validation, and exception handling using NLP, rule engines, and predictive models. • Enhance renewal strategies through data-driven insights, customer behavior analysis, and risk profiling. • Ensure AI systems align with regulatory requirements across jurisdictions, incorporating compliance checks into automated workflows. • Monitor model performance, accuracy, and bias, continuously improving systems based on feedback and evolving regulatory standards. • Support integration of AI solutions with policy administration systems (PAS), core insurance platforms, and third-party data providers. • Provide domain expertise in interpreting policy wording, exclusions, and coverage limits to ensure correct system outputs.

🎯 Requirements

• Bachelor’s or Master’s degree in Insurance, Actuarial Science, Computer Science, Data Science, or a related field. • 2–7 years of experience in insurance operations, policy administration, or AI/ML implementation in the insurance domain. • Strong understanding of policy lifecycle processes: issuance, endorsements, cancellations, and renewals. • Deep knowledge of insurance coverage structures, policy language, and risk interpretation. • Experience with AI/ML techniques such as Natural Language Processing (NLP), classification models, and rule-based systems. • Familiarity with regulatory and compliance frameworks (e.g., IRDAI guidelines, GDPR, or other regional insurance regulations). • Hands-on experience with data analysis tools (Python, SQL) and AI frameworks (TensorFlow, PyTorch, or similar). • Ability to translate business requirements into technical solutions and vice versa. • Strong problem-solving skills and attention to detail, especially in handling exceptions and edge cases in policy processing. • Experience working with Policy Administration Systems (e.g., Guidewire, Duck Creek, or similar platforms) *preferred. • Exposure to intelligent document processing (IDP) and OCR technologies *preferred. • Understanding of underwriting principles and claims impact on policy structures *preferred. • Experience in implementing AI governance or model risk management frameworks *preferred.