Senior Actuarial Data Scientist

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We are looking for an Actuary with a love for risk management, and deep knowledge of insurance & Fin Tech pricing and product development to join the EG Insur Tech team. In this role, you will lead risk management of our Fin Tech portfolio. This is a highly analytical & partner facing role with the opportunity to make a significant impact on Expedia's revenues and interact with senior leadership.

You will have a demonstrated ability to deliver results under tight timelines and exhibit excellent business judgment along with quantitative skills, a perfect mix of technical and non‑technical skills.

• Perform in a lead role on data analytics‑focused projects where you will develop, evaluate, and deploy cutting‑edge methods and models for travel insurance and related fintech products
• Lead risk management & actuarial tasks such as valuation of products and liabilities and experience studies
• Manage our reserving funds including working with external actuaries in partner insurance organizations as relevant
• Provide actuarial inputs in pricing and claims throughout product life cycle
• Build end‑to‑end design of actuarial process to provide scalable Insur Tech product development and pricing support
• Ensure compliance with applicable legal and accounting requirements, which may be in accordance with both US and international standards
• Understand and contribute to building analyses and predictive ML models in Python/R
• Collaborate and communicate effectively with our broader product team within a coding environment, while adhering to model development and maintenance best practices

• Bachelor's degree (STEM field) or equivalent experience
• Broad knowledge of pricing and risk aspects of the Actuarial field with Associate or Fellow Actuary designation (FCAS/FSA/ACAS/ASA)
• 7+ years of Actuarial/Analytical experience
• 4+ years of project leadership
• Experience leveraging traditional insurance and non‑traditional data sets using SQL
• Experience conducting analyses in Excel and programming languages such as R, Python
• Experience building and deploying statistical machine‑learning models, such as linear regression, logistic regression, GLM, GAM, etc
• Experience interacting with senior management

• Advanced degree in actuarial science, mathematics, statistics or other relevant courses plus 7+ years of directly relevant actuarial experience
• 7+ years experience working within the insurance or Fin Tech industry / claims experience
• Proficiency in common ML programming languages (Python, R, Spark…) and familiarity with ML algorithms
• High level organizational and project management skills for handling multiple concurrent assignments in a timely manner

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.

The total cash range for this position in Seattle 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.

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team.

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.