8 Apr 2026

Fraud Analyst

Booking.com

Amsterdam

8 Apr 2026

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Fraud Analyst

Booking.com is seeking a Fraud Analyst to join their Security department in Amsterdam. The role involves protecting against fraud through data analysis, incident management, and developing detection tools. Requires at least 4 years of fraud domain experience and strong skills in SQL, Python, and data visualization.

On-siteFull-timeSeniorSQLPython

Fraud Analyst

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On-siteFull-timeSeniorSQL

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

Experience Required

4 years

Employment Type

Full-time

Experience Level

At least 4 years of knowledge and experience with regard to fraud domain

Core Qualifications

Technical (Must-have)

SQLPythonPySparkRSnowflakeData AnalyticsStatistical modelsFraud detectionData pipelinesBig data

Soft Skills

Analytical mindsetCommunication skillsDecision makingSelf-disciplinedSelf-starterCommercial attitudeTeamworkAdaptabilityMentoringCoaching

Tools (Must-have)

Google SheetTableauGrafanaJupyter NotebookAirflow

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
•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

Fraud AnalystFinanceSecurityData AnalyticsPythonSQLAmsterdamFull-timeOn-siteSenior

Core Qualifications

Technical (Must-have)

SQLPythonPySparkRSnowflakeData AnalyticsStatistical modelsFraud detectionData pipelinesBig data

Soft Skills

Analytical mindsetCommunication skillsDecision makingSelf-disciplinedSelf-starterCommercial attitudeTeamworkAdaptabilityMentoringCoaching

Tools (Must-have)

Google SheetTableauGrafanaJupyter NotebookAirflow

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

•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