Insurance Underwriting AI Expert

4 hours, 41 minutes ago
Part-time
Mid Level
Artificial Intelligence and Machine Learning
Weekday

Weekday

Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020

Description

  • Design and implement AI/ML models to improve risk assessment and applicant selection.
  • Translate underwriting guidelines and business rules into data models and algorithms.
  • Develop and refine policy pricing and rating models using statistical and machine learning techniques.
  • Analyze historical and external datasets to identify risk patterns, trends, and anomalies.
  • Build intelligent systems that evaluate underwriting appetite and flag exceptions.
  • Collaborate with underwriting, actuarial, product, and engineering teams to integrate AI into workflows and platforms.
  • Monitor model performance, validate outputs, and recalibrate algorithms for compliance, fairness, and accuracy.
  • Contribute to underwriting dashboards, reporting tools, and decision-support systems.
  • Stay current on regulatory requirements and ensure underwriting practices meet compliance standards.

Requirements

  • Bachelor’s or Master’s degree in Insurance, Actuarial Science, Data Science, Statistics, or a related field.
  • 2–8 years of experience in insurance underwriting, analytics, or AI/ML applications in the insurance domain.
  • Strong understanding of underwriting principles, including risk evaluation, pricing strategies, and policy structures.
  • Hands-on experience with machine learning techniques such as regression, classification, clustering, and predictive modeling.
  • Proficiency in Python, R, SQL, and data visualization platforms.
  • Experience with large datasets, data preprocessing, and feature engineering.
  • Familiarity with underwriting systems, rating engines, and insurance data structures is highly preferred.
  • Strong analytical thinking, problem-solving abilities, and attention to detail.
  • Exposure to commercial or personal lines underwriting is preferred.
  • Experience with AI model deployment and MLOps practices is preferred.
  • Knowledge of regulatory frameworks impacting underwriting and pricing is preferred.
  • Available for a part-time contract commitment of 20 hours per week.

Benefits

  • Compensation of Rs. 6,500 per hour.
  • Part-time, contract-based engagement.
  • Remote work arrangement.
  • 20 hours per week commitment.

Interested in this position?

Apply directly on the company website

Apply Now

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