Hong Kong, Hong Kong SAR, Hong Kong
August 30, 2024
Apply NowJob description
Assurance - Data Analytics - Data Scientist - Senior - Hong Kong
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
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.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
Make your mark.
Apply now.
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
- 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
- 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
- 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
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.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
Make your mark.
Apply now.
