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Ref. Number: IN20017 Job Type: Internship Posting Date: February 20, 2020 Closing Date: March 12, 2020
Business Unit: Internal Audit Office
Duration: 8-12 weeks
Main Responsibilities: The intern will be assigned to assist IAU in incorporating the application of deep learning to audit procedures for text understanding, speech recognition, visual recognition, and structured data analysis. The assignment will consist of building an audit data warehouse, identifying patterns and trends, recommendations on appropriate ML tools, and communicate practical solutions to improve IA planning processes. Under the guidance of the Senior Internal Audit Officer, the intern is expected to
Research and identify the current and potential use that machine learning may have on audit;
Create audit data warehouse of various data that can be used to construct prediction models and to;
Support mining and analyzing data sets to develop a deeper understanding of the Bank's challenges and provide insights and recommendations to inform IA planning.
Currently enrolled in a Master's or Ph.D. program in a quantitative field such as Analytics, Math, Statistics, Computer Science, Engineering, Business or related degree.
Extensive knowledge of statistical and analytical approaches to the data mining process.
Coursework or experience in Business or Data Analytics preferred.
Experience with analytics tools such as Power BI, R, Python, or equivalent.