Actuarial Data Scientist III

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

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 provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Actuarial Data Scientist III

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 and external partners.

What you'll do :

Play a key role in data-driven product development for FinTech products like cancelation for any reason

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 reserving 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

Who you are :

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

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

Minimum of 4 years of experience in actuarial or analytical roles

Proficiency in analyzing traditional insurance and non-traditional data sets using SQL

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

Proven experience in effectively communicating and collaborating with cross-functional teams

Preferred : An advanced degree in actuarial science, mathematics, statistics, or related fields, along with 5+ years of directly relevant actuarial experience

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

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

Accommodation requests

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 through the .

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability : IN, and others.

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, religion, gender, sexual orientation, national origin, disability or age.