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