- Managing Fraud Risk Management Strategy to reduce credit & operational risk exposure through customer verification based on data analytics and whistleblowing- Identify, Analyze, and Monitor Key Fraud Indicators (Fraud schemes) - Develop sampling methodology by identifying suspicious transactions and fraudulent activities using data analytics methodology considering to customer profiles, loan structures, and unusual performances- Create and update manual books, SOP, and other tools for performance monitoring- Track internal fraudsters' punishment for deterrence effect enforcement- Generate insights from Fraud investigations results and provide recommendations for process improvement-- Project: Business Process Re-engineering (BPR), Digitalized Working Paper (DWP), Unsual Trend Analysis (UTA), Machine Learning (ML)

- Design and develop QA methodology in achieving operational excellence focusing on cohesive control, competency, and compliance- Compose and update the Risk-Based Business Process Table as QA program- Develop business unit performance dashboard as QA annual and monthly planning consideration- Undertake assurance activity by reviewing day-to-day and end-to-end Business Unit processes to evaluate risk and control are managed within risk tolerance- Perform document and process reviews to get in-depth understanding about business units- Improve business unit team competencies through training programs- Develop methods, procedures, and working paper of QA activitiesAnalyze and improve the Business Units Audit Rating-- Project: Risk-Based Business Process Table (RBBPT), QA Integrated System (QAIS)

- Teaching: Risk Management, Financial Management, Business Introduction, Corporation and Microfinance Institutions, etc- Thesis Supervisor- Business Practice Mentor