TRAINEE: Data Analyst/Scientist

What We Offer

Your life doesn’t revolve around your job. So, find the job that revolves around your life. The Trainee role is a full time 24-month contract with Societe Generale where you will have access to a diverse range of training materials to help you succeed, covering various aspects of businesses, including but not limited to technical skills, leadership development, communication skills, client service and relationship management. To be eligible, please ensure you have completed your qualification and will be available to work full time for the duration of Trainee contract. Responsibilities You will report to the Head of Data Analytics and Innovation and work with one Data Scientists in IGAD Asia DataLab. The DataLab supports the entire Asia Internal Audit department (~ 45 staff) to cover audit activities for all SG Group Business entities across the Asia Pacific region. Contribute to Audit missions with a focus on data analytics Support Asia Data Scientists and Auditors in the data collection and data preparation steps Implement Business Intelligence (BI) reports or dashboards in collaboration with experienced Auditors to help them identify risks and detect abnormal patterns in data Propose and implement other types of data analysis, controls and data science techniques using Python programming or other advanced data analytics solutions Educate and Support Auditors throughout Asia Guide and train Asia auditors in using basic data analysis tools and techniques Support auditors with their ad-hoc requests and questions around data analytics Contribute to projects Implement data analytics solutions to automate audit controls (typically the one that can be reused from one mission to another) Implement and maintain BI dashboards for the regular monitoring of risks Contribute to the technology watch on Data Science/genAI topics Through your interaction with the Data Scientists, you will have the possibility to learn the entire process of a data analytics project and explore various data science technics including machine learning algorithms implemented in real life cases (such as decision trees, isolation forest, natural language processing algorithms, process mining, etc.) Candidates with outstanding performance will be considered for early conversion to permanent roles.