Collect, process, and analyze data to support the identification, monitoring, and mitigation of operational risk and anti-fraud.
Develop and maintain dashboards, periodic reports, and relevant data visualizations to monitor Key Risk Indicators (KRIs) and support management decision-making.
Ensure the quality, consistency, and integrity of data used in risk analysis through data validation and cleansing processes.
Develop and optimize automation processes for data processing and report generation to improve efficiency and accuracy.
Coordinate with risk teams, information technology, and other business units to understand data requirements and ensure the availability of data needed for risk monitoring.
Prepare data analyses and support the development of data-driven fraud detection rules to strengthen prevention and early detection of potential misuse.
Prepare documentation of methodologies, processes, and data analysis results for audit purposes, internal reporting, and regulatory compliance.
Provide data-driven insights and recommendations for improvements to risk policies and processes based on analysis results.
About You:
Bachelor's degree (S1) from a reputable university, domestic or overseas.
Major in science, mathematics, computer science, analytics; or minimum GPA of 3.50/4.00.
SQL and Python certifications.
Tableau or other data visualization certifications.
Experience using other analytics tools such as Mode Analytics and Google Data Studio.
Understanding of regulations and compliance applicable in the banking industry.
Ability to conduct in-depth analysis of data and risk events, and provide recommendations based on findings.
Understanding of industry trends and innovations in digital banking that may affect the risk profile.
One to two years of experience in data analysis and/or business intelligence roles within the financial services industry (bank or non-bank).
Hands-on experience in producing analytics and/or dashboards for specific risk needs such as anti-fraud detection rules, risk heatmaps, or key risk indicators.