Quantitative Data Analyst

Recruiter:

Network Recruitment

Job Ref:

NFP015997/LLR

Date posted:

Friday, August 22, 2025

Location:

Johannesburg, South Africa

Salary:

Market related

SUMMARY:

Quantitative Analyst

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.

POSITION INFO:
What You'll Do:
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

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