Director – Collections Analytics

Position Overview:

Responsibilities:

• Lead a team analyst by assigning tasks, providing project guidance, ensuring quality delivery, and supporting their skill development and career progression
• Develop, implement and track, existing and new strategies to optimize collections efforts
• Design Tailored Treatment Strategies: Create specific, differentiated collection strategies and communication flows for each segment within the ATP/WTP matrix
• Establish and improve methodologies for measuring the performance and incremental impact of collection strategy segments
• Collaborate closely with the Finance team to align strategy performance results with overarching portfolio-level financial outcomes
• Track and report on key performance indicators (KPIs) and recovery rates for each matrix segment, providing detailed insights and recommending corrective actions to senior management
• Identify, develop, and launch specialized financial assistance and hardship programs for qualified customers (especially those in the "Low Ability to Pay, High Willingness to Pay" segment)
• This involves defining eligibility criteria, designing a smooth application process, and measuring the long-term effectiveness of these programs in preventing defaults
• Utilize data analytics to determine the most effective timing and frequency for automated clearing house (ACH) payment retries
• The goal is to maximize successful payment captures while minimizing customer fees, banking issues, and potential damage to the customer relationship
• Continuously research and pilot new collection opportunities, such as leveraging alternative data sources for better risk assessment
• Distill complex data analysis and strategic initiatives into clear, compelling presentations and reports for senior leadership and cross-functional stakeholders, effectively communicating key insights, performance results, and recommendations to drive consensus and informed decision-making
• Partner with product development and engineering teams to automate the delivery of these new strategies and assistance programs within existing platforms, ensuring seamless and efficient customer experience
• Recruit, manage, mentor, and develop team to foster a culture of continuous improvement, data-driven decision-making, and accountability

Requirements:

• 7-9 years of experience in data-driven collections, credit risk, or financial services analytics
• Masters degree in Statistics, Mathematics, Economics, Computer Science, or Engineering in a related field
• Strong proficiency in statistical analysis and predictive modeling techniques
• Experience with data manipulation and querying languages (eg, SQL) and statistical software (eg, Python, R)
• Knowledge of AI/ML development and deployment Excellent problem-solving skills and attention to detail
• Ability to analyze and work on unstructured/text data will be an added advantage
• Strong communication and interpersonal skills with the ability to collaborate across teams