General: Responsible for leveraging internal and external data to provide insights and information related to big data, machine learning, optimization methods, and statistical rule/model building which supports a facts-based decision making process to Fraud management strategies & policies.
Specialization: Responsible for portfolio/risk types that being assigned to manage.
Key Accountabilities
Performing data/statistical analysis to identify areas of potential fraud risk and make recommendations on fraud trends as well as appropriate risk mitigation measures.
Exploratory data analytics to setup/enhance/optimize rules to detect risk events and early warning of controls effectiveness/ KCI and risk levels/ KRIs related to fraud risk
Algorithms and qualitative model: Measure risks and automate risk response decisions through both statistic and expert adjustment, qualitative scorecard to assess risk.
Develop data analytics report and dashboard through data visualization related to fraud risk.
Perform other duties at the request of the Senior Manager of Fraud Data Analytics and Portfolio Management
