TM-Loan Originations, Underwriting

About the Role

This role focuses on managing and optimizing loan origination processes in a night shift work from office model. It requires strong expertise in MS Excel to analyze data, track pipeline metrics, and improve operational efficiency across pre-underwriting and underwriting activities to deliver accurate and timely credit decisions for a global financial services environment.

Key Responsibilities

• Manage end-to-end loan origination workflows to ensure accurate intake, data validation, and timely progression of applications.
• Analyze large volumes of loan application data in MS Excel to identify patterns, detect anomalies, and generate insights.
• Develop detailed Excel-based trackers and dashboards for pipeline status, turnaround times, and key performance indicators.
• Coordinate with credit operations, risk, and quality review teams to resolve application discrepancies.
• Document and refine standard operating procedures for loan origination stages.
• Collaborate with technology and process excellence teams to suggest automation or template improvements.
• Review pre-underwriting documentation for completeness, basic eligibility criteria, and data consistency.
• Support underwriting teams by preparing concise Excel summaries of applicant information.
• Monitor night shift process performance and promptly escalate capacity constraints or systemic issues.
• Provide coaching and process clarification to team members with less experience in Excel.
• Ensure strict adherence to regulatory guidelines and internal risk controls.
• Coordinate handoffs between day and night shift stakeholders by maintaining clear Excel-based logs.
• Prepare periodic management reports summarizing volumes, approval ratios, and exception trends.

Requirements & Tech Stack

• MS Excel (formulas, pivot tables, structured workbooks)
• Pre-underwriting practices
• Underwriting concepts
• Night shift work from office environment

Qualifications

• Apply strong MS Excel expertise including formulas, pivot tables, and structured workbooks to handle complex loan data with high accuracy and consistency.
• Use knowledge of pre-underwriting practices to assess initial applicant information, verify basic documentation, and flag missing elements.
• Use familiarity with underwriting concepts to interpret risk perspectives, credit policies, and documentation standards.
• Demonstrate the ability to operate effectively in a night shift work from office environment while maintaining focus, attention to detail, and reliable communication.
• Exhibit advanced analytical thinking, problem-solving skills, and comfort with financial data.
• Show capability to document processes, follow established guidelines, and contribute practical ideas.

Certifications

• Preferred certifications include credit risk or loan processing courses and recognized training in advanced MS Excel or data analysis.