Job ref no.: HON002WZ (CT3119080-01#3231)

Assurance - Data Analytics V Data Analyst / Data Scientist


Our Assurance group is one of the most trusted, respected and influential organizations in the industry. As part of our team, you will provide peace of mind to clients by using your skills and experience to give companies, investors and regulators confidence in the validity of financial statements and business-critical information or processes. Groups (or, as we call them, sub-service lines) within Assurance include External Audit, iData Net, Climate Change and Sustainability Services, Financial Accounting Advisory Services and Fraud Investigation & Dispute Services.

You will experience ongoing professional development through diverse experiences, world-class learning and individually tailored coaching. That’s how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime

Job summary

EY are looking for a talented and experienced analyst to assist the Assurance business in a dynamic client facing data analytics team.

The role based in Hong Kong, will be responsible for designing and delivering a range of data analytics with direct exposure to internal and external clients alike; promoting, demonstrating and delivering the benefits from the use of data analysis in an audit context.

Key responsibilities

  • Building and applying data analysis algorithms (data mining, machine learning, natural language processing, sentiment analysis, text mining, etc.) to analyze large amounts of data
  • Designing, architecting and developing solutions leveraging big data technology (Hadoop, Spark, etc.)
  • Leveraging in-house data platforms as needed and recommending and building new data solutions as required to exceed business requirements
  • Demonstrating deep understanding of and ability to tech data science, concepts, tools, features, functions and benefits of different approaches to apply them

Qualifications, Education and Certification

To qualify, candidates must have:

  • A Master or PhD in a technical field like Statistic, Data Science, Mathematics, Computer Science, or a related field
  • At least 3 – 5 years’ of relevant experience
  • Big data, machine learning and AI techniques using one or combination of TesorFlow, Theano, Torch and Keras
  • Experience in R/ Python/ Java/ C/ C++
  • Experience in designing, building, testing and validating models using large number of statistical and other quantitative techniques
  • Linear algebra and multivariate computing
  • Experience of using distributed computing tools of Map/ Reduce, Hadoop, Hive, Spark, SQL, etc.
  • Experience in structuring and overseeing program design, development, testing and debugging activities
  • Data modeling and Management, integration and manipulation of large disparate datasets (structured, semi-structured or unstructured)
  • Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences

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More job information
Job ref no. HON002WZ (CT3119080-01#3231)
  • N/A
Job Function
  • Central
Employment Term
  • Full-time
  • 3 years - 10 years
Career Level
  • Non-management level
  • Master's degree