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IHG

Global hotel company

Fraud Intelligence Specialist

Financial Crime & AMLPosted on Nov 11
Full-timePhilippinesNo salary listedIn-person

About the Job

Requirements

  • The role requires experience in large-scale data analysis, fraud detection, and investigation, preferably in the hotel or hospitality sector and with a loyalty programme.
  • Have a good understanding of key intelligence and fraud risk management principles.
  • Have a good grasp and application of the intelligence process and analytical techniques.
  • Have the ability to analyze large and complex datasets to identify patterns, trends, and anomalies.
  • Have investigation skills and the ability to develop evidence-based intelligence assessments.
  • Have strong written and verbal communication skills in English.
  • Have intermediate to advanced Excel and data analytics skills.
  • Have working knowledge of responsible artificial intelligence use, including AI-assisted analysis, automation, and agent development.

Responsibilities

  • Monitor and review transactional reports daily to identify suspicious activities and mitigate fraud.
  • Collect data through daily tracking of identified and reported fraudulent transactions and through ad hoc reports from Business Objects.
  • Analyze and synthesize data and information from a variety of sources and translate it into meaningful intelligence.
  • Provide data-driven analysis to formulate forecasts and actionable insights.
  • Produce weekly and monthly overviews and trending of existing and emerging fraud threats.
  • Identify emerging fraud threats and provide recommendations on system controls, establishment of policies, and improvement of operational procedures.
  • Conduct intelligence-led investigations and targeted assessments into identified or emerging fraud and integrity risks, drawing together relevant information to establish patterns, linkages, and potential business impact.
  • Provide timely notification to team leads or managers of identified emerging fraud trends or issues.
  • Disseminate monthly and ad hoc reports to support Risk Owners regarding observed fraud trends and related recommendations, including delivering monthly verbal updates.
  • Establish and review internal Fraud Intelligence Team and external Risk Owner and support-team ways of working.
  • Liaise with IHG teams that provide operational support to Risk Owners to recommend improvements to operational procedures.
  • When required, liaise with hotels to confirm fraudulent transactions.
  • Liaise with third-party service providers of Risk Owners to discuss identified fraud trends and related recommendations to improve daily flagging of suspicious activities.
  • Support development of the Fraud Dashboard and help establish reporting capabilities to easily identify emerging fraud patterns.
  • Contribute to optimizing the team's Fraud Data Analytics capability through daily data collection and review of flagged transactions.
  • Use approved artificial intelligence capabilities responsibly, including developing AI agents, to enhance intelligence analysis, identify relevant patterns, automate appropriate workflows, and improve efficiency, while critically assessing and validating outputs through analyst judgment.

Desired Qualifications

  • Working knowledge of SQL for querying and analyzing data.
  • Experience with dashboard and data visualization tools such as Tableau, Looker Studio, or similar.

About the Company

IHG

Global hotel company

IHG is a global hospitality company operating and franchising a portfolio of hotel brands. The company supports hotel development, reservations, loyalty programs, revenue management, brand standards, technology, and guest services. It serves travelers, hotel owners, franchisees, corporate clients, loyalty members, and hospitality partners. Its operating model centers on a primarily franchised and managed hotel network connected through brands, distribution, commercial systems, and regional support. Teams work across hotel operations, development, revenue, technology, marketing, loyalty, finance, and owner support. Teams support coordinated daily delivery.

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