Quantitative Risk Analyst

Network Finance.; Johannesburg; Hybrid; ZAR 300,000 - 400,000; Full time

Job summary

A dynamic consulting firm in Johannesburg is seeking a Credit Quantitative Consultant. You will develop and validate credit risk models across various portfolios, ensuring compliance with regulatory standards. The ideal candidate holds an honours degree in a quantitative field and has experience in credit risk modelling. Enjoy a hybrid work environment with opportunities for career growth and innovation in modelling techniques.

Benefits

Hybrid flexibility

Career growth opportunities

Innovative working environment

Qualifications

• 1-3 years of professional experience in credit risk modelling.
• Strong knowledge of IFRS 9 and/or Basel regulations.
• Experience coding in SAS and/or SQL, Python is a plus.

Responsibilities

• Build, refine and validate credit risk models across the credit lifecycle.
• Work with retail and wholesale portfolios across product types.
• Prepare clear, high-quality documentation and present insights.

Skills

Credit risk modelling

Data analysis

Problem-solving

Collaboration

Communication

Education

Honours degree in a quantitative discipline

Tools

SAS

SQL

Python

Microsoft Excel

PowerPoint

Word

Job description

Reference : NFP015972-LLR-1

Credit Quantitative Consultant

Are you passionate about credit risk modelling and data-driven decision-making? Do you thrive in fast-paced environments where your analytical skills can make a real impact? This is your opportunity to join a dynamic and growing consulting firm that partners with leading financial institutions to solve complex credit risk challenges.

My client is looking for a Credit Quantitative Consultant to join a high-performing analytics team working on cutting-edge projects across retail and wholesale portfolios. If you’re ready to stretch your modelling, coding, and client delivery skills in a startup-style consulting environment, we want to hear from you.

Responsibilities

Model Development & Validation

• Build, refine and validate credit risk models across the credit lifecycle (PD, EAD, LGD, SICR, ECL).
• Work with both retail and wholesale portfolios across product types (e.g. amortising loans, revolving credit).
• Ensure models meet IFRS 9 and Basel regulatory standards.
• Develop data cleaning, diagnostics, transformation and back-testing tools.
• Code all modelling and data processes in SAS, SQL or Python.
• Research and apply advanced techniques including machine learning where applicable.

Consulting Delivery

• Work directly with client teams, management and auditors during engagements.
• Prepare clear, high-quality documentation and present insights to stakeholders.
• Ensure accurate, timely delivery of model outputs and results.

Sales & Marketing Support

• Contribute to the development of marketing and proposal material.
• Assist in client presentations and proposal pitches.

What You’ll Bring : Education

• Honours degree (or higher) in a quantitative discipline such as Mathematics, Statistics, Actuarial Science, Applied Mathematics, Engineering or related field.

Experience

• 1-3 years of professional experience including at least 3 years in credit risk modelling.
• Strong working knowledge of IFRS 9 and / or Basel regulations.
• Hands-on experience coding in SAS and / or SQL (Python is an advantage).
• Experience working in Excel, PowerPoint and Word.
• Cloud computing exposure is a plus.

Soft Skills

• Proactive self-starter with a problem-solving mindset.
• Strong communicator with the ability to simplify complex technical topics.
• Collaborative team player with a solid work ethic.
• Ability to work under pressure and manage deadlines.

Why Join

• Work on high-impact credit risk projects across leading banks and lenders.
• Be part of a growing, agile and expert team that values innovation.
• Enjoy hybrid flexibility and a startup-style environment with real career growth.
• Get involved in cutting-edge modelling techniques including AI and machine learning.

Please send your CV to

Should you not hear from us within two weeks, please consider your application unsuccessful.

Package & Remuneration

Market related

Required Experience :

Key Skills

ISO 27001, Microsoft Access, Risk Management, Financial Services, PCI, Risk Analysis, Analysis Skills, COBIT, NIST Standards, SOX, Information Security, Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1