Thursday, 2 August 2018

EY Advisory Graduate Programme 2018

If you want to join EY then we are looking for talented graduates like you! The talent we recruit and the training and development opportunities we provide are fundamental to our success.

We provide our graduates with the opportunity and support they need to build a career that is right for them.

Qualifications: Minimum B.Sc/ B.Com Honours with focus on Quantitative skills, financial engineering, mathematical modelling, data modelling, IT.
Type of candidate: We require both candidates who have implemented the technical solutions in the below mentioned areas as well as candidates who actually performed the data and analytical work in the listed areas.
Role: To design, develop and implement data analytics and analytics driven solutions covering the entire spectrum from basic analytics to advanced analytics such as predictive modelling, machine learning and artificial intelligence, both in South Africa and abroad.

Experience and Skills that the graduate will develop will include the following:
  • Quantitative skills – This could include statistical, econometrical, mathematical skills etc.
  • Descriptive/ informative analytics
  • Predictive analytics
  • Prescriptive/ decision making analytics
  • Analytical skills
  • Social media analytics
  • Risk & control analytics
  • Process analytics
  • Operational analytics
  • Financial modelling
  • Risk scoring
  • Risk modelling
  • Consulting – It would be great if the individuals have consulting background
  • Business knowledge – They need to understand business processes, operational processes etc. and would have had to implement solutions into client environments
Technical skillset:
  • Software:
  • SQL
  • SAS/ R
  • Python
  • Spotfire/ Qlikview/ Tableau
  • Machine learning
  • AI/ Artificial Intelligence
  • Real time/ near real time analytics and technologies
  • Business Intelligence (BI implementations)
  • Internet of Things (IoT)
  • Informatica,
  • Teradata,
  • SAP HANA Advanced Analytics
  • R Shiny
  • Data manipulation and modelling/ ETL
  • Data extraction
  • Data transformation
  • Data modelling
  • Data layering
  • Data handling
  • Structured data
  • Unstructured data
  • Big data
  • Integrating structured and unstructured data
  • Building of data lakes
  • Building of data warehouses

Please note: Preference will be given to PDI candidates.

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