Remote Underwriting AI Expert: Risk, Pricing & Automation

Weekday AI (YC W21); United States; Remote; GBP 101,622 - 121,947; Part time

Job summary

Weekday AI (YC W21) is seeking an Insurance Underwriting AI Expert to drive transformation in traditional underwriting through AI solutions. This part-time, remote role requires strong underwriting and analytics knowledge, alongside skills in AI/ML applications. Responsibilities include designing models for risk assessment, automating decision-making processes, and collaborating with cross-functional teams. Ideal candidates have 2-8 years in underwriting or AI analytics, with proficiency in Python, R, SQL, and data visualization. Join us to modernize underwriting practices and enhance decision-making efficiencies.

Qualifications

• 2-8 years of experience in insurance underwriting or analytics.
• Strong understanding of risk evaluation and pricing strategies.
• Hands-on experience with regression, classification, and clustering techniques.

Responsibilities

• Design AI/ML models for risk assessment and decision-making.
• Translate business rules into algorithms for automation.
• Develop pricing models aligned with market competitiveness.
• Analyze data to identify risk patterns and trends.
• Collaborate with cross-functional teams to integrate AI solutions.

Skills

Underwriting principles

Machine learning techniques

Data analysis

Statistical modeling

Data visualization

SQL

Python

R

Education

Bachelor's or Master's degree in Insurance, Actuarial Science, Data Science, or Statistics

Tools

Machine learning libraries

Data visualization tools

Job description

Weekday AI (YC W21) is seeking an Insurance Underwriting AI Expert to drive transformation in traditional underwriting through AI solutions. This part-time, remote role requires strong underwriting and analytics knowledge, alongside skills in AI/ML applications. Responsibilities include designing models for risk assessment, automating decision-making processes, and collaborating with cross-functional teams. Ideal candidates have 2-8 years in underwriting or AI analytics, with proficiency in Python, R, SQL, and data visualization. Join us to modernize underwriting practices and enhance decision-making efficiencies.