Fraud Analyst - SAS/SQL Risk Management

  • £55-65,000 per annum
  • London, England, United Kingdom
  • Permanent, Full time
  • BSM Group
  • 20 Feb 17

Our client, an international investment banking corporation, are looking for someone to their fraud analytics team who has strong SAS and SQL coding abilities, able to interpret large sets of data in identifying fraud trends.

The chosen candidate will aid with the development, testing and implementation of fraud strategies. This requires the use of advanced analytical techniques, decisioning system knowledge and liaison with key stakeholders to ensure risk, customer service and profitability are optimised.

Responsibilities:

  • Assist in the effective delivery and operating of a Global Fraud Framework.
  • Minimise loss due to card risk and fraud events.
  • Assist in the management of fraud parameters within the authorisation hierarchies and application processes.
  • Proactively identify new fraud risks/client trends and investigate results that are outside of expectations making recommendations for changes to the framework / strategy as required.
  • Ensure that fraud risk reporting develops over time to meet business needs.
  • Support the Fraud Systems & Analytics Manager with defining and implementing fraud risk requirements for the launch of new products.
  • Manage / provide support on ad-hoc projects as required by the Fraud Systems & Analytics Manager. This will include the expansion of the use of scoring data, benchmarking and research projects etc.

Requirement:

  • Minimum of 3 years’ experience in managing fraud and risk within the UK Banking environment.
  • Graduate in a numerical discipline.
  • Advanced knowledge of SQL programming.
  • Understanding of SAS Programming (version 9.1.3, Macros) and working knowledge of SAS data warehousing.
  • Proficient in Microsoft Office applications Excel, Access, Word, and PowerPoint
  • Experience of leading analytical projects.
  • Experience of handling large volumes of data.
  • Exceptionally numerate and be able to interpret information.
  • Excellent knowledge of financial fraud risk/Modus Operandi and a good knowledge of the retail banking business.