Expert, Fraud Risk Data Analytics and Portfolio Management

Job Purpose

1. 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.

2. Specialization: Responsible for portfolio/risk types that being assigned to manage.

Key Accountabilities (1)

'1. Performing data/statistical analysis to identify areas of potential fraud  risk and make recommendation on fraud  trends as well as recommend appropriate risk mitigation measures.
2. 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
3. Algorithm and qualitative model : measure risks and automate risk response decision through both statistic and expert adjustment, qualitative scorecard to assess risk .

Key Accountabilities (2)

4. Develop data analytics report and dashboard through data visualization related to fraud  risk.
5. Perform other duties at the request of the Senior Manager of Fraud  Data Analytics and Portfolio Management 

Key Accountabilities (3)

Key Relationships - Direct Manager

Senior Manager, Fraud  Data Analytics and Portfolio Management 

Key Relationships - Direct Reports

N/A

Key Relationships - Internal Stakeholders

Business Units/Supporting Units/Internal Auditing/Units with analytics function in the bank

Key Relationships - External Stakeholders

Success Profile - Qualification and Experiences