Quantitative Analyst - Collections

Network Finance; Randburg; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Network Finance is seeking a data-driven analyst to join its quantitative analytics team in Randburg, South Africa. You will analyse collections portfolio performance, develop dashboards, and recommend data-driven improvements. Strong SQL, Excel and dashboard-building skills are essential for this role.

Experience with SAS, Python or R is advantageous, and you will collaborate with collections and operations teams to optimise recoveries and efficiency, while maintaining data integrity.

Qualifications

• Degree in Mathematics, Statistics, Actuarial Science, Economics, Data Science, Finance, or related quantitative field.
• Experience within a Quantitative Analytics, Collections Analytics, Credit Risk Analytics, or Retail Banking Analytics environment.
• Previous exposure to collections strategy monitoring, reporting, and performance optimisation.
• Experience working with large datasets and translating findings into business recommendations.

Responsibilities

• Analyse collections portfolio performance and identify trends, risks, and opportunities for improvement.
• Monitor, measure, and report on the effectiveness of collections strategies and operational outcomes.
• Develop and maintain dashboards, reporting packs, and performance metrics.
• Support collections strategy optimisation through data analysis and actionable recommendations.
• Assist with the implementation, testing, and monitoring of new collections initiatives and treatments.
• Partner with collections and operational teams to improve recoveries and operational efficiencies.
• Ensure data accuracy, integrity, and consistency across reporting and analytical processes.
• Present findings and insights to key stakeholders to support decision-making.

Skills

Advanced Excel

Strong SQL

Analytical thinking

Reporting & dashboards

Stakeholder engagement

Data storytelling

Education

Degree in Mathematics, Statistics, Actuarial Science, Economics, Data Science, Finance, or related quantitative field

Tools

SAS

Python

R

Job description

Key Responsibilities

• Analyse collections portfolio performance and identify trends, risks, and opportunities for improvement.
• Monitor, measure, and report on the effectiveness of collections strategies and operational outcomes.
• Develop and maintain dashboards, reporting packs, and performance metrics.
• Support collections strategy optimisation through data analysis and actionable recommendations.
• Assist with the implementation, testing, and monitoring of new collections initiatives and treatments.
• Partner with collections and operational teams to improve recoveries and operational efficiencies.
• Ensure data accuracy, integrity, and consistency across reporting and analytical processes.
• Present findings and insights to key stakeholders to support decision-making.

Job Experience and Skills Required

Qualifications:

• Degree in Mathematics, Statistics, Actuarial Science, Economics, Data Science, Finance, or a related quantitative field.

Experience:

• Experience within a Quantitative Analytics, Collections Analytics, Credit Risk Analytics, or Retail Banking Analytics environment.
• Previous exposure to collections strategy monitoring, reporting, and performance optimisation.
• Experience working with large datasets and translating findings into business recommendations.

Skills:

• Advanced Excel skills.
• Strong SQL skills.
• Experience with SAS, Python, R, or similar analytical tools would be advantageous.
• Strong analytical and problem-solving abilities.
• Ability to build reports, dashboards, and performance tracking tools.
• Excellent communication and stakeholder engagement skills.

Non-Negotiable Requirements:

• Collections analytics experience.
• Strong quantitative and analytical mindset.
• Ability to work independently and make data-driven recommendations.
• Strong attention to detail and commitment to data quality.