Risk Analyst: Modelling & Analytics

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 company’s 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 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 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

If you meet the above requirements and want to make a career‑changing move, apply today by either filling in the online application form or by emailing your CV to Financialcareers@hireresolve.za.com.

You are welcome to connect with Merina Naicker, Shannon Watson or Lindy-Lee du Plessis on LinkedIn or contact them at 021 551 8638 and use any of the following extensions: Merina 504, Shannon or Lindy 514.

Please note that correspondence will only be conducted with shortlisted candidates for this position. Please consider your application unsuccessful if you do not hear from us within 3 days.

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