Fraud Analyst

1 month ago


Bukarest, Romania Booking Holdings Romania Full time

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: , Priceline, Agoda, KAYAK, OpenTable and .


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 (. 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 

SME within the team, maintains consistency and quality across the team by performing quality reviews and providing feedback to team members
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 leading the design and delivery of parts of Data Analytics solutions based on business requirements, chipping in 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, using software development standard methodologies
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
Ability to handle and report fraud cases from start to finish
Communicate and involve relevant internal and external collaborators to respond to critical issues and incidents (fraud and security) as a first point of contact for all collaborators. . Legal, Customer Service, Finance, Partner Services
Ability to drive complex projects with multiple collaborators to conclusion with a high level of impact
Contribute to or lead other projects which reduce fraud related losses while maintaining focus on a positive customer experience
Work effectively with team members and leadership by communicating fraud trends and sharing ideas and knowledge in a constructive and positive manner
Use a combination of manual and automated tools to proactively analyze various data
Design and build statistical models
Visualization of data - using tools such as tableau
Building statistical Models
Responsible for growing their own craft skills while using data analytics for impact on well defined business problems
Develop, initiate, maintain, and revise automated strategies and approaches for ’s fraud operations within the big picture of the organization
Provide training and support by sharing outcomes of analyses about fraud trends and patterns to relevant staff
Looks at awareness from a strategic level and seeks to address gaps
Works with the Product/Engineering team to propose an innovative approach for fraud detection, new tooling requirements and process improvement
Contribute to ’s growth through mentoring peers, interviewing, on-boarding and/or other recruitment efforts
Able to perform independently with minimal support from the line manager
Ability to perform well in a fast paced environment and positively adapt to change



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
Trustworthy character
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:


Health insurance 
Prepaid medical subscription (Regina Maria) 
Life insurance 
Meal vouchers (30 RON/ticket) 
Learning wallet 
Travel benefit 
Annual vacation leave of 25 business days, pro rata with the working period 
Birthday day off 
Summer break (short Fridays during summer) 
Work from Abroad program (up to 20 days/year in EU) 
Floating days off 
2 Volunteer days/ year 
Home office one-time bonus of 400 EUR net 
Bookster 
Linkedin learning platform 
Headspace 
Employee discounts (travel, gym, dental, vision)