SAS Solution Designer

Our client

Work with one of the top Australian and financial services provider headquartered in Sydney.


The Role

As the SAS Solution Designer, you will play a lead role in designing, governing and implementing strategic risk data solutions which meet the needs of both the business and IT. This role requires to work closely with the Enterprise Architects, Information Architects and act as the liaison between the Analytics team, various technology teams including strategic partners and the various business areas, prescriptive analytics.



  • Work with business units to understand credit risk related data elements.
  • Work collaboratively within an Agile delivery framework.
  • Analyse source system data and identify any derived measures that are used by business.
  • Development of data definitions, including business rules, physical level data rules, field types, formats, profiling, data sourcing and end usage of the data.
  • Data Publication, involving managing the transition of data from a conceptual state, such as a prototype, strategy or model, to operational state in a system for decisioning.
  • Provide the link between systems functions, analytics or modelling and project functions.
  • Source data identification, involving identifying the optimal source of the required data variables.
  • Data Investigation - Analyse data for issues to help determine the root cause of the issue and development of business rules that need to be applied.
  • Provide thought leadership and subject matter expertise on analytical ready data to the analytics, projects, systems and business teams.
  • Maintain and enhance analytical data knowledge through the publication of information into the analytics knowledge management solution.

Skills & Experiences

  • 3+ years’ experience in a large and complex financial services organisation
  • 7+ years’ experience within projects and/or delivery of business and technology solutions, involving engineering of complex data processes
  • 7+ years of Advanced experience particularly in data manipulation
  • 3+ years hands on experience using Unix/Linux servers
  • 3+ years of experience in data quality analysis and remediation
  • Knowledge on Cloud Platforms and Big Data Analytics using Hadoop and Azure
  • Understanding of quantitative analytics, its methodologies, and data processes
  • Must have SAS software experience
  • Must has worked with SAS Credit Risk calculations and understands the end to end integration

For more information or for a confidential discussion, please contact Zee Wong on 02 9250 8092 alternatively please APPLY NOW for consideration of this role.
Sydney (Sydney)
I.T. & T
Zee Wong