• Support Credit Underwriting teams through data analysis, MIS reporting, dashboard development, and system-related initiatives.

• Analyze business data and provide actionable insights to support portfolio monitoring, performance tracking, and decision-making.

• Collaborate with stakeholders across Commercial Lending and related functions to understand business requirements, processes, and reporting needs.

• Design, develop, and maintain regular and ad hoc MIS reports, executive dashboards, portfolio monitoring tools, automated reporting solutions, and management information tools.

• Develop data visualization solutions and dashboards using analytical tools.

• Extract, consolidate, and transform data from multiple sources to generate meaningful business insights.

• Manage and maintain internal databases and data repositories to ensure data accuracy, integrity, and accessibility.

• Present analytical findings and recommendations to business stakeholders through reports, presentations, and meetings.

• Support data governance, reporting automation, and process improvement initiatives to enhance operational efficiency.

• Perform other duties and projects as assigned.

• Develop and optimize data models, KPI frameworks, and portfolio monitoring metrics to support Credit Underwriting management.

Qualification:

• Bachelor’s degree in computer science, Information Technology, Management Information Systems (MIS), Computer Engineering, Telecommunications, or related field.

• Minimum 2 years of experience in MIS, data analytics, or related functions, preferably within banking or financial services industry.

• Experience in handling large and complex datasets, data modeling, and reporting solutions is preferrable.

• Experience supporting UW with management reporting and data-driven decision-making is an advantage.

Technical Competencies

• Core Competencies

o MIS Reporting and Executive Dashboard Development

o Data Analytics and Visualization

o Database Management (SQL, Teradata, Oracle, SQL Server)

o Presentation and Communication Skills

o Good command of written and spoken English.

• Preferred Competencies

o Programming and Automation (Python, SQL, VBA/Office Scripts)

o Commercial Lending & Credit Underwriting Knowledge

o Portfolio Monitoring & Credit Risk Analytics

o Data Governance & Data Quality Management

o Power Automate and Workflow Automation

o Data Modeling & Data Warehousing

o AI / Machine Learning / Advanced Analytics

o Financial Statement Analysis