Risk Analyst: Modelling & Analytics

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

A well-known Consumer finance Business is looking for a Risk Analyst who is experienced in Modelling & Analytics to join their team based in Cape Town.

The successful candidate will need to ensure through the use of cutting-edge statistical analysis that the intellectual property of the companys credit portfolio is continuously fostered and distributed.

Key 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.

Key Competencies

• Strong analytical and problem-solving skills
• Knowledge of statistical & Mathematical models
• Interpretation of analysis
• Ability to communicate insights with senior stakeholders.
• Compilation of reports
• Strong attention to detail
• Monitoring output data quality
• Must be able to manage deadlines

Minimum Requirements

• A bachelors 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 products
• Preparing data-driven credit policy recommendations for senior management
• Exposure to Bureau data and Developing customer insights.
• Manipulating & Analyzing data using SAS, SQL, andSAS Macros
• Exposure to Python or R- Advantageous