About the Role:
- 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.
