Quantitative Analyst

Network Finance.; City of Johannesburg Metropolitan Municipality; Hybrid; ZAR 500 000 - 800 000; Full time

Job summary

A dynamic analytics consultancy is seeking a Credit Quantitative Consultant to join their team. The ideal candidate will have significant experience in credit risk modelling and regulatory frameworks. In this role, you'll undertake model development using SAS, SQL, and Python, while benefiting from hybrid work flexibility and career advancement opportunities within a collaborative environment. Great analytical and communication skills are required to communicate insights to clients effectively.

Benefits

Hybrid work flexibility

Rapid career development opportunities

High-impact project involvement

Qualifications

• 13 years of credit risk modelling experience including at least 3 years total work experience.
• Practical experience with regulatory modelling (IFRS 9 / Basel).
• Familiarity with cloud computing environments is advantageous.

Responsibilities

• Develop, refine and validate credit risk models across the credit lifecycle.
• Deliver modelling and analytics support aligned with IFRS 9 and Basel.
• Communicate technical insights and model outcomes clearly to clients.

Skills

Quantitative analysis

Credit risk modelling

Strong analytical skills

Communication skills

Team player

Education

Honours degree in Mathematics, Statistics, or related field

Tools

SAS

SQL

Python

Excel

PowerPoint

Word

Job description

Reference: NFP016046-LLR-1

Are you a quantitative analyst with a passion for credit risk modelling and data-driven problem-solving? Step into a fast‑paced consulting role where your skills directly influence credit decision‑making for top‑tier financial institutions.

A dynamic and growing analytics consultancy is looking for a Credit Quantitative Consultant to join their high‑performing team. This role is ideal for ambitious quantitative professionals who want to stretch their modelling, coding and client‑facing skills in a startup‑style environment while still working on big‑ticket projects with leading banks and financial institutions.

You’ll work on end‑to‑end model development, validation and implementation using tools like SAS, SQL and Python with exposure to both retail and wholesale credit portfolios. The role offers a blend of technical depth, regulatory exposure (IFRS 9 & Basel) and consulting delivery.

Whats in it for you

• Work on high‑impact, high‑visibility credit risk projects
• Exposure to cloud computing, machine learning and AI in real applications
• Hybrid work flexibility within a collaborative, agile team
• Opportunities for rapid career development in a fast‑growing environment

Duties & Responsibilities

Key Responsibilities

• Develop, refine and validate credit risk models (PD, LGD, EAD, SICR, ECL) across the credit lifecycle
• Deliver modelling and analytics support to clients in line with IFRS 9 and Basel requirements
• Create back‑testing tools, diagnostics and transformation pipelines
• Communicate technical insights and model outcomes clearly to clients and stakeholders

Job Experience and Skills Required

• Education: Honours degree or higher in a quantitative field (Mathematics, Statistics, Engineering, Actuarial Science, Applied Mathematics, etc.)
• Experience: 13 years of credit risk modelling experience (including at least 3 years total work experience)
• Practical experience with regulatory modelling (IFRS 9 / Basel)
• Proficiency in SAS and/or SQL (Python is a strong advantage)
• Comfortable with Excel, PowerPoint and Word
• Exposure to cloud computing environments (advantageous)
• Strong analytical and communication skills
• Team player with a proactive attitude and the ability to simplify complex ideas
• Able to thrive under pressure and meet deadlines

Apply now!

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Please send your CV to [contact information]

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

Employment Type: Full‑Time

Vacancy: 1