Description:

Position Overview:

As a Director Collections Analytics, develop and implement strategy for payment recovery, leading teams, analyzing data, ensuring compliance, and optimizing processes to minimize losses and improve cash flow. Require strong analytical, leadership, and communication skills, with experience in Collections, Technology and Regulations.

Key duties include managing KPIs, reporting to leadership, managing resources, negotiating, and collaborating across departments like Finance and Credit to align collection efforts with business goals.

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 (e.g., SQL) and statistical software (e.g., 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.