Johannesburg North: Quantitative Analyst – Capital Data & Debt Review Optimization posted by Network Finance

A forward-thinking BPO is looking for a high-calibre Quantitative Analyst to join their fast-growing team. If you’re passionate about digging into data, optimizing processes, and applying commercial thinking to real-world business challenges, this opportunity was made for you.

In this role, you’ll work with large capital and debt datasets, improve and optimize debt review processes, and deliver insights that directly shape smarter operational and financial decisions. If you’re excited by measurable impact, fast-paced environments, and high-value analytics, let’s talk.

Key Responsibilities:

• Analyze, interpret, and model capital & debt review data for strategic decision-making
• Manage and optimize debt review processes for improved efficiency
• Build analytical frameworks that enhance operational and business outcomes
• Deliver high-impact insights and recommendations to commercial and operational teams

Job Experience & Skills Required:

• Education:
  • Degree in Mathematics, Statistics, Actuarial Science, or another quantitative field (non-negotiable)
  • Exceptional academic performance is essential
• Experience:
  • Minimum 2 years in a quantitative, analytics, or financial modelling environment
  • Exposure to debt, credit, capital data, or process optimization is a bonus
• Skills:
  • Strong analytical and quantitative modelling capabilities
  • Proficiency in Python, R, SQL, Excel, or similar tools
  • Commercially minded with outstanding problem-solving skills
  • Ability to analyze large datasets, identify trends, and translate insights into action
• Non-negotiables:
  • Top-tier academics
  • Commercial instincts
  • Ability to manage & optimize processes with measurable outcomes

Apply Now!

For more exciting Finance vacancies, visit:
networkrecruitmentinternational.com

I also specialize in recruiting for:

• Actuarial roles (Life, Short-Term, Health, Pensions, Quantitative)
• Data Scientists & Data Analysts (Python, R, SQL, Machine Learning)
• Risk Analysts (Credit, Market, Model Risk, Operational)
• Pricing Specialists (Insurance, Financial Products)
• Machine Learning & AI Data Scientists (ML Ops, NLP, Predictive Modelling)
• Quantitative specialists across Banking, Insurance & FinTech

If you don’t hear from us within two weeks, please consider your application unsuccessful. Your profile will remain on our database for future opportunities.

For more information, contact:
Kholo Mongalo
Recruitment Researcher – Actuarial & Analytics
? Connect with me on LinkedIn:
linkedin.com/in/kholo-v-mongalo-233541131/