Employer Active
•Develop and deploy advanced analytical models and algorithms using Machine Learning techniques such as supervised and unsupervised learning, classification, regression, clustering, and deep learning for supporting Internal Audit processes.
•Apply Deep Learning methodologies including neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers for solving complex audit business problems.
•Utilize Natural Language Processing (NLP) techniques to analyze unstructured text data, extract meaningful information, and derive insights from large textual datasets.
•Design and implement predictive models to forecast business trends, identify patterns, and optimize operational processes.
•Collaborate with cross-functional teams to understand audit requirements, define analytical objectives, and translate them into technical solutions.
Full Time