Key Responsibilities

• Data Collection and Compilation: Collect data from various sources, including internal systems, databases, and external vendors, related to collections activities, delinquencies, and recoveries.

• Compile and consolidate data into standardized formats and databases to facilitate analysis and reporting.

• Data Analysis and Reporting: Analyze collections data to identify trends, patterns, and areas for improvement in collections processes delinquency rates, and recovery rates.

• Prepare and generate regular and ad-hoc reports, dashboards, and analytics to track collections
  performance, monitor key metrics, and provide insights to stakeholders.

• Performance Monitoring: Monitor key performance indicators (KPIs) related to collections operations, including delinquency rates, recovery rates, aging analysis, and portfolio quality.

• Track and analyze performance data to assess the effectiveness of collections strategies and initiatives and
  identify opportunities for optimization.

• Forecasting and Predictive Analytics: Develop forecasting models and predictive analytics to anticipate future collections trends, identify potential risks, and forecast recovery outcomes.

• Utilize statistical techniques and data modeling to analyze historical data and predict future collections
  performance.

• Process Optimization: Collaborate with collections managers and operations teams to identify process inefficiencies, bottlenecks,
  and opportunities for improvement.
• Recommend and implement process optimization initiatives, automation solutions, and best practices to streamline collections operations and enhance efficiency.

• Data Quality and Integrity: Ensure the accuracy, completeness, and integrity of collections data by implementing data validation checks, data cleansing processes, and quality control measures.
• Establish data governance frameworks and standards to maintain data quality and consistency across systems and databases.
• System Enhancement and Integration: Work with IT teams and vendors to enhance collections systems, databases, and reporting tools to meet
  evolving business requirements.
• Support the integration of data from disparate systems and sources to create a unified view of collections
  performance and outcomes.
• Stakeholder Collaboration and Communication: Collaborate with collections managers, senior management, and cross-functional teams to share insights, present findings, and make recommendations based on data analysis.
• Communicate complex technical concepts and analytical findings in a clear and concise manner to nontechnical stakeholders

Qualification

• Bachelor’s degree in computer science, information technology, statistics, or related field; master’s degree or MBA preferred.
• 8+ years of experience in MIS, data analysis, or business intelligence roles, with a focus on collections operations, preferably in the financial services industry or NBFC sector.
• Strong proficiency in data management tools and technologies, including SQL, Excel, data visualization tools (e.g., Tableau, Power BI), and statistical analysis software (e.g., R, Python).
• Excellent analytical and problem-solving skills, with the ability to interpret complex data sets, extract meaningful insights, and translate insights into actionable recommendations.
• Knowledge of collections processes, regulatory requirements, and industry best practices in the NBFC sector.
• Strong attention to detail, accuracy, and data integrity, with the ability to maintain high standards of data quality and consistency.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Proven ability to work independently, prioritize tasks, and manage multiple projects simultaneously in a fast-paced, deadline-driven environment.