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EY Assurance- Data Analytics- Scientist- Senior- Hong Kong 
China, Hong Kong, Hong Kong Island 
392384042

07.07.2024

Your key responsibilities

  • Work with a team to apply mathematical or statistical techniques to address practical issues in an audit / business setting, such as fraud detection, process automation, control improvement, decision-making processes, or risk management
  • Develop analytical models, using advanced machine learning algorithms and statistical, quantitative, or econometric techniques. Research or develop financial analytics models
  • Maintain or modify all analytical models in use
  • Identify and leverage opportunities for efficiencies in the internal processes
  • Design and develop RPA solutions to meet business requirements, such as data handling, process monitoring, or reporting
  • Transform and validate a variety of client financial and non-financial data for the use in the audit analytical procedures
  • Collaborate with audit teams and clients, and create values for audit engagements using data analytical tools
  • Identify, investigate, recommend and implement resolutions for data related issues (completeness, accuracy)
  • Coordinate work on a portfolio of engagements to meet deadlines

To qualify for the role you must have

  • Bachelor/Master’s degree in Statistics / Data Science / Data Analytics / Information System / Computer Science are preferred
  • DSE English Level 4 or above / IELTS Writing Band 7 or above preferred
  • Experience in data transformation techniques to aggregate transactional data (i.e. involving financial and/or process data)
  • Experience in data analytics and programming SQL / Python / R / C#, additional experience in big data environment and tools such as SAS / Hive / Hadoop will be an advantage
  • Experience in statistics and machine learning techniques, experience in artificial neural network / NLP will be an advantage
  • Working knowledge in data mining and modeling: Predictive modeling; Classification / Clustering / Anomaly detection techniques
  • Working knowledge of MS Excel, MS Access
  • Experience in PowerBI / Spotfire / Tableau / Qlik preferred
  • Experience in RPA will be an advantage
  • Attention to detail in investigating, communicating and solving problems in relation to data and processes

What working at EY offers

  • Support and coaching from some of the most engaging colleagues around
  • Opportunities to develop new skills and progress your career
  • The freedom and flexibility to handle your role in a way that’s right for you