Actuarial Data Scientist III- InsurTech Team

Introduction to the Team:

We are seeking an Actuary with a strong passion for risk management, extensive expertise in insurance pricing, and a deep understanding of FinTech products to join our EG InsurTech team. In this role, you will be a pivotal contributor in supporting the growth and development of FinTech and insurance products. Your role will be highly analytical, with a primary focus on leveraging data to enhance our product offerings. You will have the opportunity to influence Expedia's financial outcomes and collaborate with senior leadership.

In this Role, You Will:

• Play a key role in data-driven product development for FinTech products, including travel insurance

• Apply actuarial principles to evaluate and enhance insurance product offerings and pricing strategies

• Conduct valuation of insurance products and assess associated liabilities

• Manage and optimize our claims fund, collaborating as needed with external actuaries from partner insurance organizations

• Provide actuarial insights and guidance throughout the product life cycle to ensure competitive pricing and efficient claims management

• Design end-to-end actuarial processes to support the development and pricing of scalable InsurTech products with a focus on FinTech

• Ensure compliance with relevant legal and accounting requirements, which may encompass both US and international standards

• Analyze data and build predictive models using tools such as Python and R to support product development

• Collaborate effectively with the broader product team within a coding environment while adhering to model development and maintenance best practices

Minimum Qualifications:

• A bachelor's degree in a STEM field or equivalent experience

• 5+ years of experience in actuarial or analytical roles

• Proficiency in analyzing traditional insurance and non-traditional data sets using Python and R

• Experience in conducting analyses in Excel and programming languages such as R and Python

• Experience in building and deploying statistical machine-learning models, such as linear regression, logistic regression, GLM, GAM, etc

• Experience interacting with Senior Management.

Preferred Qualifications:

• An advanced degree in actuarial science, mathematics, statistics, or related fields, plus 5+ years of directly relevant actuarial experience

• A strong understanding of actuarial principles with an Associate or Fellow Actuary designation (FCAS, FSA, ACAS, ASA)

• A strong background in the insurance industry, ideally with experience in FinTech insurance products

• Proficiency in common machine learning programming languages such as Python, R, and Spark, and familiarity with various machine learning algorithms