Our client is a TravelTech company that builds and deploy cutting-edge technology, connecting travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, they have 4,000+ employees representing 90+ nationalities to foster a work environment rich in diversity, creativity, and collaboration. They pride themselves on innovating through a culture of experimentation and ownership, enhancing the ability for their customers to experience the world.

Relocation support will be provided for you and your family to help you settle into the new environment.

Get to Know The Team:  

The Data department oversees all of the company’s data-related requirements. Their ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. The company hires the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays is critical as business users, product managers, engineers, and many others rely on them to empower their decision making. The company is also equally dedicated to their customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it. This is what drives up the challenge as part of the Data department, but also the reward.

In This Role, You’ll Get to

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to understand fraud, how it relates to the company’s strategy and products, and how to prevent it
• Build advanced predictive models to understand the impact of specific fraudulent behaviors, trends, and patterns
• Work closely with cross-functional teams of data and backend engineers, analysts, user researchers, product managers, and designers who are passionate about the company’s success
• Understand how user fraud affects other consumers of our data, including insights and feature teams, and work across the data landscape to minimize impact and drive influence wherever possible
• Communicate data-informed insights and recommendations to key stakeholders, engineering and product partners

What You’ll Need to Succeed

• 2+ years of experience in a data driven role in payment fraud detection and prevention, with an understanding of the impact that fraud prevention has on other areas in the company where business and product decisions are made
• Extensive experience in detecting and analyzing fraud at the individual transaction level as well as across large data sets
• Bachelor’s Degree in science, computer science, statistics, economics, mathematics, a similar quantitative discipline, or equivalent industry experience
• Coding skills for analytics and data manipulation (SQL, R, Python, Pandas, Scala)
• Experience with data visualization tools such as Tableau or your weapon of choice
• Strong analytical and statistical analysis skills in order to extract insights and recommendations
• Fluent in English with strong communication skills (both written and verbal)

It’s Great If You Have

• Knowledge of machine learning algorithms including classifiers, clustering algorithms, and anomaly detection is a plus