Actuarial Data Scientist III

Actuarial Data Scientist III - Insur Tech Team

We are seeking an Actuary with a strong passion for risk management, extensive expertise in insurance pricing, and a deep understanding of Fin Tech products to join our EG Insur Tech team. In this role, you will be a pivotal contributor in supporting the growth and development of Fin Tech 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.

• Play a key role in data‑driven product development for Fin Tech 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 Insur Tech products with a focus on Fin Tech
• 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

• 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 building and deploying statistical machine‑learning models, such as linear regression, logistic regression, GLM, GAM, etc
• Experience interacting with Senior Management

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

The total cash range for this position in San Francisco is $ to $. Employees in this role have the potential to increase their pay up to $, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

The total cash range for this position in San Jose is $ to $. Employees in this role have the potential to increase their pay up to $, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.

Expedia Group offers a comprehensive benefits package, including medical/dental/vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E‑Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I‑9 to confirm work authorization.