Senior Collection Analyst

About the Company

PT Bank Neo Commerce Tbk, formerly PT Bank Yudha Bhakti Tbk, is an Indonesia-based company primarily engaged in the banking business. The Company operates as a technology-based bank. The Company serves the customers in the Small and Medium Business (SME), Retail (Consumer) and Mass Market segments, through banking products and services embedded in an ecosystem by optimizing technology.

Responsibilities

• Analyze collection portfolio performance, delinquency trends, recovery rates, and key collection KPIs.
• Monitor portfolio quality and identify performance gaps, emerging risks, and improvement opportunities.
• Conduct portfolio segmentation and trend analysis to support collection strategies and prioritization.
• Extract, consolidate, validate, and analyze data from multiple sources to ensure accuracy and reliability.
• Develop and maintain management reports, dashboards, and performance monitoring tools.
• Translate analytical findings into actionable insights and recommendations to improve collection effectiveness.
• Support Collection and Special Asset Management (SAM) divisions through data analysis, performance monitoring, and business reviews.
• Collaborate with Collection, Credit Risk, and other stakeholders to address business challenges and support decision-making.
• Identify opportunities to automate reporting processes and improve data processing efficiency.
• Independently manage analytical projects and ad hoc requests, ensuring timely delivery of high-quality insights and reports.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Finance, Information Systems, Computer Science, or another relevant field.
• Minimum 5-6 years of relevant experience in MIS, data analytics, collection analytics, credit risk, or portfolio reporting, preferably within the banking or financial services industry.
• Strong understanding of banking collection processes, delinquency management, recovery performance, and collection-related KPIs.
• Advanced proficiency in SQL, including complex queries, joins, aggregations, and data manipulation.
• Advanced proficiency in Microsoft Excel and/or Google Sheets, including advanced formulas, PivotTables, data analysis, and reporting.
• Hands-on experience with data visualization and business intelligence tools such as Power BI or Tableau.
• Working knowledge of Python for data processing, analysis, or automation is an advantage.
• Strong analytical thinking, problem-solving, and attention to detail, with the ability to translate data into actionable business insights.
• Excellent communication and stakeholder management skills, including the ability to present analytical findings to management.
• Ability to work independently, manage multiple priorities, and deliver high-quality outputs within deadlines.