Quantitative Risk Analyst

Recruiter:

Network Recruitment

Job Ref:

NFP015972/LLR

Date posted:

Wednesday, August 13, 2025

Location:

Johannesburg, South Africa

Salary:

Market related

SUMMARY:
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? Then this is your opportunity to join a dynamic and growing consulting firm that partners with leading financial institutions to solve complex credit risk challenges.

POSITION INFO:
Credit Quantitative Consultant

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, then we want to hear from you.

What You'll Do:

Model Development & Validation:
- Build, refine, and validate credit risk models across the credit lifecycle (PD, EAD, LGD, SICR, and ECL)
- Work with both retail and wholesale portfolios across product types (e.g. amortising loans and revolving credit)
- Ensure that 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 the accurate, timely delivery of model outputs and results
Sales & Marketing Support:
- Contribute to the development of marketing and proposal material
- Assist with 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 a 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.

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