Financial Crime Analytics Manager

  • GBP72000 - GBP90000 per annum
  • Muzayri‘, Abu Dhabi, United Arab Emirates Muzayri‘ Abu Dhabi AE
  • Permanent, Full time
  • McGregor Boyall
  • 20 Apr 18 2018-04-20

Our client is a top tier bank, offering an exciting oppurtunity for an experienced Financial Crime Analytics Manager to join their Credit and Risk function reporting into the Head of Fraud Strategy and Analytics. The Financial Crime Analytics Manager will be based in Abu Dhabi, managing a team of 3 with a purpose of identifying and defining Fraud/AML Technology and system requirements.

Our client is a top tier bank, offering an exciting oppurtunity for an experienced Financial Crime Analytics Manager to join their Credit and Risk function reporting into the Head of Fraud Strategy and Analytics.

The Financial Crime Analytics Manager will be based in Abu Dhabi, managing a team of 3 with a purpose of identifying and defining Fraud/AML Technology and system requirements.

Key Responsibilities:

  • Fraud and AML Technology Systems- Liaise with stakeholders to identify and define technology and system requirements, perform technical aspects of system implementation and integration and design and develop the population and maintenance of the fraud/AML warehouse.
  • Financial Crime Analytics-Build and manage analytics capability. Use these to build verified scoring models in SAS to improve detection rates.
  • Financial Crime Measurement, Monitoring and reporting- Monitor enterprise performance measurement metrics and thresholds and communicate findings and recommendations to management.
  • Card Fraud- Oversee and support Card Fraud team in building the data and analytics framework, whilst training and mentoring the team.

Key Requirements:

  • At least 5 years' experience in an analytical position within a top tier bank or financial services institution.
  • A Master's degree
  • Experience of building and optimizing databases and designing and implementing warehouses.
  • Must be fluent in programming languages such as SAS, SQL
  • Strong Analytical skills
  • Knowledge of Fraud Risk management tools



McGregor Boyall is an equal opportunity employer and do not discriminate based on race, religion, gender, age, sexuality, gender identification, or physical ability.