Quantitative Credit Risk Analyst — Portfolio & Pricing Insights

CodeConnect Staffing; Sandton; On-site; ZAR 600,000 - 1,200,000; Full time

Job summary

CodeConnect Staffing in Sandton, South Africa, is seeking a skilled Quantitative Analyst to join a well-established financial services and banking organisation. You will leverage advanced analytics to optimise credit portfolio performance and risk-adjusted profitability.

With at least 2 years of experience in credit risk analytics, you will work with SAS, Python, R and SQL, develop pricing and portfolio models, and deliver interactive dashboards to support strategic decision-making.

Qualifications

• Bachelor's degree in a quantitative discipline.
• Minimum 2 years' experience in credit risk analytics or related field.
• Proficient with SAS, Python, R and SQL.
• Familiar with IFRS 9 and Basel frameworks.

Responsibilities

• Develop analytical frameworks for credit portfolio management and performance optimisation.
• Apply modelling, ML and predictive analytics to identify trends, risks and opportunities.
• Develop credit origination models, methodologies and strategies.
• Analyse portfolio performance and pricing strategies for risk-adjusted returns.
• Create dashboards and visualisations for monitoring and reporting.
• Collaborate with stakeholders to integrate insights into strategy and risk appetite.

Skills

SAS

Python

R

SQL

Credit risk analytics

Education

Bachelor's degree in Mathematics/Statistics/Financial Engineering/Actuarial Science

Job description

CodeConnect Staffing in Sandton, South Africa, is seeking a skilled Quantitative Analyst to join a well-established financial services and banking organisation. You will leverage advanced analytics to optimise credit portfolio performance and risk-adjusted profitability.

With at least 2 years of experience in credit risk analytics, you will work with SAS, Python, R and SQL, develop pricing and portfolio models, and deliver interactive dashboards to support strategic decision-making.