Risk Analytics Lead: Modelling & Credit Forecasting

JVR Software; Cape Town; On-site; ZAR 700,000 - 1,000,000; Full time

Job summary

JVR Software in Cape Town seeks a Risk Analyst experienced in modelling and analytics to drive credit risk insights and protect the company’s portfolio. You will work with a team to apply advanced statistical analyses, develop predictive models, and monitor risk decisions.

The role requires a strong foundation in mathematics and data interpretation, with SAS/SQL proficiency and exposure to Python or R being advantageous.

Qualifications

• Bachelor's degree or higher in Mathematics, Engineering, Statistics, Economics, Actuarial Science or Finance (CA(SA), CIMA, CFA)
• Minimum 5 years relevant experience in Credit Risk Analysis, Unsecured Lending, data-driven policy recommendations
• Experience manipulating and analyzing data using SAS, SQL, and SAS Macros; exposure to Python or R is advantageous

Responsibilities

• Collaborate with a team of risk analysts to apply best practices in statistical analysis and credit risk management.
• Complete the analysis to identify how changing the approach will affect the application areas and account management tactics.
• Predictive model development and monitoring for the improvement of risk decision-making
• Create experimental frameworks to address important business questions.
• Using statistical methods, forecast and track market trends
• Assist with applying strategy adjustments to active decision‑making systems.

Skills

Analytical skills

Statistical modeling

Data interpretation

Communication with stakeholders

Education

Bachelor's degree or higher in Mathematics/Engineering/Statistics/Economics/Actuarial Science or Finance

Tools

SAS

SQL

SAS Macros

Python

R

Job description

JVR Software in Cape Town seeks a Risk Analyst experienced in modelling and analytics to drive credit risk insights and protect the company’s portfolio. You will work with a team to apply advanced statistical analyses, develop predictive models, and monitor risk decisions.

The role requires a strong foundation in mathematics and data interpretation, with SAS/SQL proficiency and exposure to Python or R being advantageous.