Booking Holdings Romania - Fraud Analyst

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 six-primary consumer facing brands: Booking.com, Priceline, Agoda, KAYAK, OpenTable and Rentalcars.com.

Role description

The goal of the Fraud team is to proactively protect, prevent, detect and respond to fraudulent behavior. The team is responsible for handling security and fraud threats across the business operations globally. Continuous improvement on detection and response capabilities is key. The Fraud team is part of the Security department within Technology.

Fraud Analysts take ownership for an array of actions to identify and address incidents for traffic which they are accountable for. Analysts coordinate and lead incidents/projects and drive innovation around this. They must have excellent communication skills to proactively influence relevant internal collaborators (e.g. Customer Service, Legal, Technology, Finance). In addition Analysts are expected to drive innovation and strategic focus to influence the team/department to change their approach. They support a positive and high energy level environment where they function as a force multiplier.

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
• Design and build statistical models
• Support the team, assisting with PySpark issues, workflow scheduling, and performance
• Proposes, develops and works with the Product/Engineering teams to deliver new tools for fraud prevention, detection and response activities. Leveraging software development best practices.
• Visualization of data - using tools such as tableau.
• 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.
• Develop, initiate, maintain, and revise automated strategies and approaches for Booking.com's fraud operations within the big picture of the organization.
• Ability to drive complex projects, in cooperation with multiple stakeholders, aimed to reduce fraud related losses while maintaining focus on a positive customer experience and work with.
• Persistently undertakes exploration of new fraud threats and propose and/or implement controls and mitigation plans.
• Ability to identify risks pertaining to campaigns run by the business and provide relevant feedback to the program leads.
• Contribute to Booking.com's growth through mentoring peers, recruitment, on-boarding, share knowledge related to fraud trend analysis and upskill the department by hosting relevant technical training sessions.
• Responsible for growing their own craft skills while leveraging data analytics for impact on well defined business problems.
• Communicate and involve relevant internal and external stakeholders to respond to escalations and incidents (fraud and security) as a first point of contact for all stakeholders. E.g. Legal, Customer Service, Finance, Partner Services.
• SME within the team, maintains consistency and quality across the team by performing quality reviews and providing feedback to team members.

Role Qualifications and Requirements

• At least 4 years of knowledge and experience with regard to fraud domain (both analytical and case management) and at least 1 years of experience in mentoring and coaching people
• BSc, MSc or equivalent, preferably in Law, Computer Science, Criminology, Physics, Econometrics, Economics or comparable
• Strong analytical attitude, ability to use SQL, Excel, Visualization tools to translate data to identify business problems/solutions
• 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 critical issues and requests appropriately using clear communications
• Self-starter and able to work independently and enjoys creating and implementing new initiatives
• Comfortable and fluent in English, both written and spoken
• Strong commercial attitude/business-driven and interest
• Experience in the travel industry is a plus

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.