Booking Holdings Romania is a Center of Excellence based in Bucharest, Romania and was created to support the increasing business demands of the Booking Holdings Brands. The Center of Excellence provides access to specialized and highly skilled talent, leading industry best practices, and collaboration opportunities across all of our Brands.

As part of our Booking Holdings Romania team, you will have the opportunity to be a part of the world’s leading provider of online travel, with a mission of making it easier for everyone to experience the world through five-primary consumer facing brands: Booking.com, Priceline, Agoda, KAYAK and OpenTable.

Role description

As a Fraud Analyst Intern you will contribute to identifying fraud and fraudulent activities within the Supplier Fraud. Your activity will imply to create, modify and execute SQL and Hadoop database queries, write Python workflows to retrieve and analyze data, and create visualizations using Tableau.

The goal is to efficiently identify fraud, improve existing workflows and prepare proper dashboards for stakeholders.

This role provides a hybrid way of working with an onsite presence of 2 days/week.

Key Job Responsibilities and Duties 

• Software development / script coding using SQL or Python or other languages to develop data pipelines, clean data and analyze big data sets
• Development of data pipelines using PySpark or HQL, considering the data volume and complexity of each project
• Responsible for owning the design and delivery of parts of Data Analytics solutions based on business requirements, contributing to bringing them from the initial idea-generation phase to implementation with some supervision and support 
• Support the team, assisting with PySpark  issues, workflow scheduling, and performance 
• Proposes and develops new tools to prevent, detect and respond to fraud, leveraging software development best practices.
• Design and build statistical models 
• Visualization of data - using tools such as tableau 
• Building statistical Models 
• Responsible for growing their own craft skills while leveraging data analytics for impact on well defined business problems.

Role Qualifications and Requirements

• Strong analytical mindset, ability to use SQL, Excel, Visualization tools 
• Excellent knowledge of scripting (Python/PySpark/R) and create notebooks for efficient querying. 
• Able to perform code review and provide peer feedback
• Must have strong decision making ability and be self-disciplined
• Good and effective communication skills
• Ability to prioritize incoming escalations and requests appropriately using clear communications
• Comfortable and fluent in English, both written and spoken

Benefits & Perks

• Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide
• Working in a fast-paced and performance driven culture
• Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
• Competitive compensation and benefits package 
• Vast amounts of data to validate your ideas and the opportunity to experiment with real users

Booking Holdings is proud to be an equal opportunity workplace and is an affirmative action employer. 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. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.