Job Description

Responsibilities:

• Hands on and in-depth knowledge of AR process.
• Monitor and collect accounts receivable for assigned portfolios by contacting customers via telephone & email, both inbound and outbound.
• Work with cash application team to apply payments timely & accurately.
• Maintain accounts receivable records to ensure aging is up to date, credits and collections are applied, uncollected amounts are accounted for, and miscellaneous differences are cleared.
• Provide accurate forecasting of collection promises.
• Work with Customer Service & Billing teams to resolve customer disputes, support correction of root causes and enable timely collections.
• Identify slow-paying customers, timely escalation of collection challenges to management & BizOps team, and recommend appropriate exit paths.
• To be highly customer obsessed and ensure delivering a positive customer experience on every interaction.
• Assist in streamlining and improving the accounts receivable process by identifying areas of improvement.
• Meet all productivity-related goals on a monthly basis.

Requirements:

• Minimum requirements include graduation or a bachelor's Degree in Accounting/Finance or a related field.
• 5-7 years of relevant experience in Accounts Receivables.
• Strong ability to communicate internally and externally.
• Strong ability to take initiative and self-start when necessary.
• Proven ability to develop new ideas and creative solutions.
• Proven ability to work successfully in an ambiguous environment.
• Proven ability to meet tight deadlines and prioritize workload.
• Fluency in Microsoft Excel is a must.
• 4 years of experience in Accounts Payable (AP).
• Experience interpreting data to make business recommendations.
• Post-Graduation or Master's Degree in Accounting/Finance or a related field.
• Previous experience of 5-7 Years in Account Receivables, Collections, Dispute Management, Customer Care, or other customer-facing role.
• 7 years of experience in Accounts Receivables (AR).
• Experience interpreting data to make business recommendations.