Senior Auditor Advanced Audit Analytics

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.

•Conduct exploratory data analysis (EDA) to discover hidden patterns, trends, and anomalies in large-scale datasets.

•Evaluate and select appropriate Machine Learning and Deep Learning frameworks, libraries, and tools for model development and deployment.

•Perform feature engineering, data preprocessing, and feature selection to enhance model performance and interpretability.

•Implement scalable and efficient solutions for data preprocessing, model training, evaluation, and deployment in production environments.

•Develop and maintain data pipelines for collecting, processing, and transforming structured and unstructured data from multiple sources.