Data Scientist Collections Analytics Ahmedabad

Role Summary As a Data Scientist Collections Analytics, you will support the development and optimization of strategies for payment recovery by analyzing data, monitoring performance, ensuring compliance, and identifying opportunities to minimize losses and improve cash flow. The role requires robust analytical and communication skills, along with experience or exposure to lending-related use cases such as credit risk, collections, or fraud analytics. You will work closely with cross-functional teams including Finance, Credit, Product, and Engineering to align collections efforts with business goals. Responsibilities Support the development, implementation, and tracking of existing and recent strategies to optimize collections efforts. Design tailored treatment strategies and assist in creating differentiated collection strategies and communication flows for each segment within the ATP/WTP matrix. Track and report on key performance indicators (KPIs) and recovery rates for each matrix segment, providing insights and recommending corrective actions. Utilize data analytics to determine the most effective timing and frequency for ACH payment retries to maximize successful payment capture while minimizing customer fees, banking issues, and potential impact on the customer relationship. Apply advanced data analysis and statistical techniques to evaluate strategy effectiveness and identify opportunities for improvement. Use statistical inference, advanced statistical analysis, and A/B testing / experimental design to support strategy development and performance assessment. Continuously research and pilot current collection opportunities, such as leveraging alternative data sources for improved risk assessment. Distill complex data analysis and strategic initiatives into clear presentations and effectively communicate key insights and performance results to both technical and non-technical stakeholders. Partner with Product Development and Engineering teams t Role Summary As a Data Scientist Collections Analytics, you will support the development and optimization of strategies for payment recovery by analyzing data, monitoring performance, ensuring compliance, and identifying opportunities to minimize losses and improve cash flow. The role requires robust analytical and communication skills, along with experience or exposure to lending-related use cases such as credit risk, collections, or fraud analytics. You will work closely with cross-functional teams including Finance, Credit, Product, and Engineering to align collections efforts with business goals. Responsibilities Support the development, implementation, and tracking of existing and recent strategies to optimize collections efforts. Design tailored treatment strategies and assist in creating differentiated collection strategies and communication flows for each segment within the ATP/WTP matrix. Track and report on key performance indicators (KPIs) and recovery rates for each matrix segment, providing insights and recommending corrective actions. Utilize data analytics to determine the most effective timing and frequency for ACH payment retries to maximize successful payment capture while minimizing customer fees, banking issues, and potential impact on the customer relationship. Apply advanced data analysis and statistical techniques to evaluate strategy effectiveness and identify opportunities for improvement. Use statistical inference, advanced statistical analysis, and A/B testing / experimental design to support strategy development and performance assessment. Continuously research and pilot current collection opportunities, such as leveraging alternative data sources for improved risk assessment. Distill complex data analysis and strategic initiatives into clear presentations and effectively communicate key insights and performance results to both technical and non-technical stakeholders. Partner with Product Development and Engineering teams t