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Assurance- Data Analytics- Data Scientist (NLP and machine learning) - Hong Kong

Location:  Hong Kong
Other locations:  Primary Location Only
Salary: Competitive
Date:  16-Jan-2022

Job description

Requisition ID:  442861

The opportunity

Assurance Business Service specialise in delivering high quality and efficient audit and advisory services to a portfolio of clients, understanding the enterprise-wide view of business risk and how this risk can be effectively managed. We use state-of-the-art diagnostic tools to evaluate business processes and controls, and advanced technology in knowledge sharing.

 

Your key responsibilities

 

  • Develop analytical models, using NLP techniques, advanced machine learning algorithms and statistical techniques.
  • Maintain or modify all analytical models in use.
  • Work with a team to apply statistical and machine learning techniques to address practical issues in an audit / business setting, such as fraud detection, process automation, control improvement, decision-making processes, or risk management.
  • Provide audit teams and clients with ad-hoc analyses, automated dashboards, and self-service reporting tools
  • Transform and validate a variety of client financial and non-financial data for the use in the audit analytical procedures
  • Identify, investigate, recommend and implement resolutions for data related issues (completeness, accuracy)

 

To qualify for the role you must have

  • Bachelor/Master’s degree in STEM background / Data Science / Computer Science / Data Analytics are preferred
  • DSE English Level 4 or above / IELTS Writing Band 7 or above preferred
  • 2+ years of Experience in NLP / text mining projects or machine learning projects is a must
  • Experience in programming (SQL / Python / R / C#), additional experience in big data environment and tools such as SAS / Hive / Hadoop will be an advantage
  • Experience in data mining and modeling: Predictive model; Classification; Clustering; Anomaly detection
  • Knowledge in statistics, machine learning, and deep learning
  • Experience in Power BI / Spotfire / Tableau / Qlik but not a must

 

What working at EY offers

  • Support, coaching and feedback 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

 

About EY

As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality.

 

 

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Build your legacy with us.

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