Assistant Vice President – Treasury Middle Office (Analytic)

Main Duties and Responsibilities (အဓိကတာ၀န် နှင့် ၀တ္တရားများ)

• Manage Treasury data analytics and develop dashboards, management reports, and analytical tools to support Treasury decision-making.
• Automate recurring data-processing activities to improve accuracy, efficiency, and availability of management information.
• Analyze Treasury data and provide meaningful information on liquidity, funding, deposits, FX positions, money market activities, customer activities, and other key Treasury indicators.
• Work closely with Treasury teams and relevant departments to understand reporting requirements and convert business requirements into practical dashboards, reports, and analytical tools.
• Use Python, Excel, AI tools, and other appropriate technologies to improve Treasury data analysis, reporting, and automation.

Detail Duties and Responsibilities (အသေးစိတ်တာ၀န် နှင့် ၀တ္တရားများ)

Treasury Data Analytics & Management Information

• Collect, organize, and analyze Treasury data from relevant systems, reports, and data sources.
• Develop dashboards and management reports covering key Treasury activities such as liquidity, funding, deposit movements, FX positions, FX transactions, Money Market activities, customer trends, and other relevant indicators.
• Develop daily, weekly, monthly, and ad-hoc analytical reports to support Treasury management and decision-making.
• Analyze historical trends, unusual movements, concentrations, changes, and other important developments within Treasury data.
• Present analytical findings in a clear and practical format for Treasury management.

Dashboard & Report Automation

• Develop and maintain automated Treasury reports, dashboards, and data-processing tools using Python, Excel, Power BI, or other appropriate technologies.
• Automate repetitive manual reporting and data-compilation processes to reduce processing time and operational errors.
• Develop tools that can consolidate information from multiple Excel files, system reports, or other approved data sources.
• Maintain clear calculation logic, data definitions, assumptions, and documentation for automated reports and analytical tools.
• Test automated processes and reports thoroughly before implementation to ensure data accuracy and reliability.
• Monitor existing automated reports and tools and make improvements when business requirements or data structures change.

Data Quality & Control

• Perform data validation and reconciliation to ensure information used in dashboards and management reports is accurate and complete.
• Identify missing data, duplicated information, unusual values, incorrect classifications, and inconsistencies between different data sources.
• Coordinate with relevant departments to investigate and resolve data-quality issues.
• Establish appropriate validation checks and controls within automated reports and analytical tools.
• Maintain proper version control, documentation, and backup of important Treasury analytical tools and report logic.
• Identify practical opportunities where AI and automation can reduce manual work or improve Treasury management information.
• Maintain awareness of data confidentiality, information security, and the bank’s policies when using AI and analytical tools.
• Work with IT and other relevant departments when system access, databases, infrastructure, or technical support is required.

Business Support & Continuous Improvement

• Work closely with Treasury management and individual Treasury functions to understand new analytical and reporting requirements.
• Recommend new dashboards, indicators, analytical methods, and automation opportunities that can improve Treasury oversight and decision-making.
• Support ad-hoc analysis for Treasury management, including scenario analysis, trend analysis, management presentations, and business planning.
• Continuously improve existing dashboards and reports based on management requirements and changes in Treasury activities.
• Develop a data-driven culture within Treasury by helping team members understand and effectively use management information and analytical tools.

Job specification အလုပ်လုပ်ကိုင်ရန် လိုအပ်ချက်သတ်မှတ်ချက်

• Bachelor’s degree in Finance, Accounting, Economics, Business, Data Analytics, Statistics, Computer Science, or a related field. A Master’s degree would be an advantage.
• At least 5 years of relevant experience in financial analysis, management reporting, data analytics, business intelligence, or report automation.
• Good analytical and problem-solving skills with strong attention to data accuracy.
• Good knowledge of Microsoft Excel, including formulas, PivotTables, data analysis, and reporting.
• Basic practical knowledge of Python for data processing, analysis, and report automation is required.
• Familiarity with Python libraries such as Pandas and OpenPyXL would be an advantage.
• Experience in dashboard development or business intelligence tools such as Power BI would be an advantage.
• Ability to understand databases, structured data, and data relationships would be an advantage.
• Good understanding of banking and financial data would be an advantage.
• Proficiency in written and spoken English and Myanmar language.
• Ability to communicate analytical findings clearly to both technical and non-technical users.

Critical Competencies အရေးကြီးသော ကျွမ်းကျင်မှုနှင့် စွမ်းရည်များ

• Strong analytical and logical thinking with the ability to convert large amounts of data into useful management information.
• Strong attention to detail and accuracy, particularly in calculations, report logic, and automated processes.
• Strong problem-solving skills with the ability to investigate data inconsistencies and identify the source of reporting or calculation issues.
• Good practical understanding of Python, Excel, data processing, and report automation.
• Ability to coordinate closely with Treasury Front Office, Middle Office, Operations, Finance, IT, and other relevant departments.