Collection Analyst

TASQ Staffing Solutions; Taguig; On-site; PHP 446,400 - 669,600; Full time

Job summary

A financial services firm in Metro Manila is seeking an experienced professional for an analytical role focused on collections. Responsibilities include preparing reports on collection metrics, analyzing data trends, and collaborating with management and data science teams. Ideal candidates should have over 3 years of experience in collections or credit risk management and proficiency in data analysis tools such as Excel, SQL, and Python.

Qualifications

• 3+ years of experience in collections or credit risk management.
• Proficient in data analysis tools like Excel, SQL, Tableau, Python, or R.
• Excellent analytical and problem-solving abilities.

Responsibilities

• Prepare regular reports on collection metrics and KPIs.
• Monitor collection performance and identify issues.
• Analyze collection data to identify trends and improvements.
• Participate in new program launches and process changes.
• Collaborate with the Data Science team for advanced analytics.

Skills

Data analysis using Excel

SQL

Python

Tableau

Critical thinking

Problem solving

Communication skills

Collaboration

Tools

Excel

SQL

Tableau

Python

R

Job description

• Prepare regular reports on collection metrics, including flow rates, recovery rates, Collection productivity and effectiveness, and other relevant KPIs.
• Monitoring Collection performance on daily basis and identify problem if any
• Analyze collection data to identify trends, patterns, and areas of improvement. Perform in-depth analysis when needed and report to management for necessarily follow up action.
• Participate on new program/strategy launch and process change implementation. Collaborate with other related function to ensure the implementation is delivered smoothly
• Work with Data Science team for advance analytics and exploring ideas for improvement

Qualifications

• 3+ years of experience in collections, credit risk management, or a similar analytical role in the financial services sector.
• Proficient in data analysis tools (Excel, SQL, Tableau, Python, or R).
• Excellent analytical, critical thinking, and problem-solving abilities.
• Strong in communication and collaboration skills.
• Ability to contribute consistently and positively in a fast-paced environment.