Are you passionate about using data to detect and prevent fraud? A leading banking company is seeking a highly skilled Fraud Data Scientist to join their team. This company has vast experience within their industry and is on the lookout for a charismatic individual to apply advanced analytics and machine learning to safeguard financial transactions within their company This companys aim is to ensure that they deliver value through innovation and affordable solutions and setting high standards when they continue to strive for excellence within their operations Duties: Leverage data to discover new insights and develop solutions that allow for improved decision making. Enable a frictionless customer experience whilst minimising fraud risk and money laundering on electronic payment platforms Use statistical and machine learning techniques to maximise the performance of systems Design algorithms and heuristics to identify high risk transactions, automating real time transaction decisions Take the next step and apply with Robyn today Job Experience & Skills Required: Qualifications: Honours degree in Stats/Computer science/ Engineering/Maths Experience: Experience in Payments Modelling is essential Good stakeholder management Oracle, R, Python, SQL 5 years experience in a similar role If you are interested in this opportunity, please apply directly. For more finance jobs, please visit If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions. For more information contact: Robyn Peskin Recruitment Researcher: Actuarial and analytics rpeskinnetworkfinance.co.za