Fraud Analyst

Salary

Core Qualifications

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