The main purpose of the Fraud Data Scientist is to support the delivery of the Transactional Fraud Mitigation service by leveraging data to discover new insights and develop solutions that allow for improved decision making. The overall objective is to provide customer value in fraud detection and analytics while establishing the organisation as a strategic partner in national fraud prevention. The Fraud Data Scientist will be required to maximise the performance of systems, toolkits, processes and associated data to contribute directly to the proactive detection of fraud and the reduction of fraud losses while minimising impact to genuine transactions. This involves the development, optimization, maintenance and evolution of fraud detection models at national level.
Key abilities include leveraging off of multiple skillsets, including data engineering, advanced computing, scientific methods, statistical computation, visualization, business communication, and domain expertise.
5 years’ related experience
Big data analytics
Scripting and programming
Fraud detection models
Expert in MS Office, SQL
Advantageous: Machine learning techniques, Oracle, NetReveal, RStudio, Python
MSc or BSc - Applied mathematics, mathematics of finance, statistics, actuarial science or equivalent
Data analytics life cycle
Good communication (written, oral) and interpersonal skills
Organise and manage multiple tasks
Work autonomously and in teams