Collection Analyst

Kredivo Group; Manila; On-site; PHP 400,000 - 800,000; Full time

Job summary

Kredivo Group is seeking a Collection Analyst to develop, monitor, and optimize collection strategies, improving portfolio performance and recoveries. You will partner with Collections Operations and cross-functional teams to analyze performance, deliver insights, and implement data-driven improvements.

The role emphasizes A/B testing, segmentation, and collaboration across Risk, Product, and Technology to enhance efficiency and customer outcomes.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Finance, Business Analytics, Computer Science, or related field.
• 2 years of experience in Collections Strategy, Analytics or related role.
• Ability to translate data into actionable business insights.
• Proficiency in SQL, Python, SAS or R.
• Experience with collection systems, dialers or segmentation tools is a plus.

Responsibilities

• Monitor and analyze collection performance metrics and KPIs with regular reporting and insights.
• Collaborate with Collections Operations to translate strategy into execution.
• Develop and optimize collection strategies using data and feedback.
• Design and analyze A/B tests to identify effective collection treatments.
• Identify trends and opportunities to improve performance and customer experience.
• Support new collection programs with analytical insights and post-implementation monitoring.
• Perform portfolio segmentation and behavioral analysis for targeted strategies.
• Collaborate with Risk, Product, Operations, and Tech on initiatives.
• Ensure accurate, timely delivery of reports and outputs.
• Stay updated on best practices and regulatory developments in collections.

Skills

Analytical thinking

Data storytelling

Problem solving

SQL

Python

SAS

R

Communication

Education

Bachelor's degree in Statistics/Math/Economics/Finance/BA Analytics/CS

Tools

SQL

Python

SAS

R

Job description

The Collection Analyst is responsible for developing, monitoring, and optimizing collection strategies to improve portfolio performance and maximize recoveries. This role partners closely with Collections Operations and cross-functional stakeholders to analyze performance, generate actionable insights, and implement data-driven strategies that enhance operational efficiency and customer outcomes.

Key Responsibilities

• Monitor and analyze key Collections performance metrics and KPIs, providing regular reports, insights, and actionable recommendations to management.
• Partner closely with the Collections Operations team to ensure strategic initiatives are effectively translated into operational execution.
• Develop, evaluate, and continuously optimize collection strategies using data analysis, portfolio performance, and business feedback.
• Design, execute, and analyze A/B tests and controlled experiments to identify the most effective collection treatments and recovery strategies.
• Identify trends, risks, and opportunities to improve collection performance, operational efficiency, and customer experience.
• Support the implementation of new collection programs, products, policies, and process enhancements by providing analytical insights and post-implementation performance monitoring.
• Perform portfolio segmentation and behavioral analysis to recommend targeted collection strategies for different customer groups.
• Collaborate with Risk, Product, Operations, and Technology teams to support strategic initiatives and system enhancements.
• Ensure the accuracy, integrity, and timely delivery of reports and analytical outputs.
• Stay informed of industry best practices, emerging analytics techniques, and regulatory developments related to collections.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Finance, Business Analytics, Computer Science, or a related field.
• At least 2 years of experience in Collections Strategy, Collections Analytics, Risk Analytics, Credit Risk, or a related analytical role.
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable business insights.
• Proficiency in one or more analytical tools such as SQL, Python, SAS, or R.
• Experience working with collection management systems, dialers, decision engines, or customer segmentation tools is an advantage.
• Knowledge of A/B testing methodologies, statistical analysis, and performance measurement.
• Excellent communication and presentation skills with the ability to influence stakeholders through data-driven recommendations.
• Highly organized with strong attention to detail and a high level of accountability.
• Ability to manage multiple priorities and perform effectively in a fast-paced, dynamic environment.
• Collaborative team player with a proactive mindset and continuous improvement orientation.