Description
The role will require the successful candidate
- to implement models and strategies in a complex SAS environment;
- to demonstrate subject matter expertise in the areas of SAS tool usage and complex data structures;
- to support the wider business in the application and successful use of Risk models.
Minimum Criteria:
- Postgraduate qualification in a quantitative analytical or information management related discipline;
- Five years' experience in an analytics related role;
- Extensive experience in SAS/ETL DI Studio, SAS/Enterprise Miner, SAS/Base, SAS/Macro, SAS/STAT, SAS Web Report Studio, SAS Information Maps, SAS/Connect on a variety of hardware platforms including Sun Solaris, Linux and Microsoft windows server.
- Data management, analytical and reporting skills - extensive database experience on Oracle, DB2, Teradata.
- Experience in managing complex scheduled batch processes;
- A proven track record of collaborative development and delivering complex analysis to non-technical stakeholders;
- Project management skills - managing a multi-layered deployment process in a complex IT environment with multiple stakeholders and agendas.
Desirable Criteria:
- Grid enabling SAS code;
- Optimising batch flow deployed on SAS Grid using DI Studio and schedulers;
- Experience of solving financial services-specific business challenges: impairment assessment, RARoC, collections and recoveries modelling;
- Experience in using SAS in a cloud -type context: executing SAS code in Hadoop, accessing analytics via web services.
For more information and a confidential discussion please call Michael or e: (see below)