Booking.com BV (the company behind Booking.com™, the market leading online hotel reservation service in the world) is looking for a Fraud Analyst. The goal of the Fraud team is to proactively protect, prevent, detect and respond to fraudulent behavior. The team is responsible for managing 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 address incidents for which they are held accountable. Analysts coordinate and lead incidents/projects and drive innovation around this. They must have great communication skills to proactively influence relevant internal stakeholders (e.g. Customer Service, Legal, Technology, Finance). In addition, Analysts are expected to drive innovation and strategic focus and to influence the department and team to change their approach. They support a positive and high energy level environment where they function as a force multiplier.
Key Responsibilities- SME within the team, maintains consistency and quality across the team by performing quality reviews and providing feedback to team members
- Script coding using SQL, Python or other languages to develop data pipelines, clean and manipulate data and analyze big data sets
- Development of data pipelines using PySpark or Airflow, 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.
- 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 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;
- Ability to drive complex projects with multiple stakeholders 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 to forecast fraud trends and improve fraud detection and prevention capabilities
- Visualize and interpret data using tools such as Tableau, Grafana, Jupyter Notebook or similar.
- Responsible for growing their own craft skills while leveraging data analytics for impact on well defined business problems.
- Develop, initiate, maintain, and revise automated strategies and approaches for Booking.com’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 a new approach for fraud detection, new tooling requirements and process improvement.
- Contribute to Booking.com’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
- 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 mindset, ability to use SQL, Snowflake, Google Sheet, Visualization tools to translate data to identify business problems/solution
- 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
- Self-starter and able to work independently and enjoys creating and implementing new initiatives
- Strong commercial attitude/business-driven and interest
- Possibility to live and work in Amsterdam, named as the best city in the World for living a happy and healthy life
- International and diverse company culture;
- Possibility to innovate through multiple company programs (e.g. Hackathon, twice a year)
- Opportunity to work in an Agile, startup-like development environment
- Excellent support for personal development through online platforms
- Mentorship programs to accelerate skills growth
- Contribute to the company tech transformational journey toward a more modern tech stack
- Inclusive leadership, valuing the opinion of everyone independently of their career level
- Great compensation package
- Multiple perks that will make your life easier (e.g. Discounts to local shops, discounted gym membership, etc.)
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. We’re committed to fostering a more inclusive Booking.com experience for the millions of travelers, partners and communities around the world who use our platform every day. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations
Pre-Employment ScreeningIf 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.
#J-18808-Ljbffr€55000 - €75000 monthly