Quantitative Analyst

Recruiter:

Network Recruitment

Job Ref:

NFP016046/LLR

Date posted:

Tuesday, September 9, 2025

Location:

Johannesburg, South Africa

Salary:

Market Related

SUMMARY:
ð 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 will directly influence credit decision-making for top-tier financial institutions. If you're ready to push boundaries with cutting-edge credit risk modelling and gain exposure across diverse portfolios, then this opportunity is for you!

POSITION INFO:
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 balance of technical depth, regulatory exposure (IFRS 9 and Basel), and consulting delivery.

What’s 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 in a collaborative, agile team
Opportunities for rapid career development in a fast-growing environment

Key Responsibilities:

Develop, refine, and validate credit risk models (PD, LGD, EAD, SICR, and 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:
- 1–3 years of experience in credit risk modelling (with at least 3 years total work experience preferred)
- Practical experience with regulatory modelling (IFRS 9/Basel)
Skills:
- Proficiency in SAS and/or SQL (Python is a strong advantage)
- Comfortable with Excel, PowerPoint, and Word
- Exposure to cloud computing environments (advantageous)
Soft Skills:
- Strong analytical and communication skills
- Team player with a proactive attitude and ability to simplify complex ideas
- Able to thrive under pressure and meet deadlines

Apply now!

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

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