Quantitative Analyst

Communicate Finance; Johannesburg; On-site; ZAR 300 000 - 400 000; Full time

Job summary

A finance and analytics company in South Africa is seeking a Quantitative Analyst to tackle complex problems using advanced analytics frameworks. The ideal candidate will have a strong background in credit risk analytics and experience with machine learning techniques. This role involves collaborating with senior analysts and contributing to strategic initiatives. Candidates should possess a degree in a quantitative discipline and proficiency in SAS, Python, R, and SQL. The company offers a full-time position with opportunities for professional growth.

Qualifications

• Minimum 2 years experience in credit risk analytics, quantitative modelling, or related functions.
• Exposure to IFRS9 and Basel frameworks and credit modelling techniques.
• Postgraduate studies or certifications in Data Science, Machine Learning, FRM, or CFA are advantageous.

Responsibilities

• Contribute positively to team culture and continuous learning.
• Develop and maintain advanced analytics frameworks for credit portfolio management.
• Apply machine learning and advanced statistical techniques to enhance predictive accuracy.

Skills

SAS

Python

R

SQL

Analytical skills

Stakeholder engagement

Education

Degree in Mathematics, Statistics, Financial Engineering, Actuarial Science or Economics

Job description

Reference: CFA020978-KR-1

Are you a numbers‑driven thinker with a passion for analytics modelling and innovation? We’re looking for a Quantitative Analyst who loves solving complex problems, developing cutting‑edge models, and turning data into strategic insights. If you thrive where machine learning meets credit risk while keeping things collaborative and engaging, we’d love to connect with you!

Duties & Responsibilities

Leadership and Collaboration:

• Contribute positively to team culture and continuous learning.
• Collaborate with senior analysts and cross‑functional teams to support strategic credit initiatives.
• Demonstrate analytical curiosity and play an active role in innovation across the function.
• Support a high‑performance culture consistent with organisational values.
• Share knowledge, best practices, and insights to uplift the wider analytics community.

Technical & Analytical Responsibilities:

• Develop and maintain advanced analytics frameworks for credit portfolio management.
• Apply machine learning and advanced statistical techniques to enhance predictive accuracy and decision‑making.
• Conduct deep‑dive portfolio analysis including RWA and Economic Capital attribution and optimisation.
• Build dashboards and visualisation tools for real‑time portfolio monitoring.
• Integrate analytics into strategic planning and risk appetite frameworks.

Skills & Experience:

• Minimum 2 years experience in credit risk analytics, quantitative modelling, or related functions.
• Strong proficiency in SAS, Python, R, SQL.
• Exposure to IFRS9 and Basel frameworks and credit modelling techniques.
• Strong analytical and problem‑solving capability.
• Excellent communication and stakeholder engagement.
• Ability to work independently and collaboratively within a high‑performing team.

Qualifications:

• Degree in Mathematics, Statistics, Financial Engineering, Actuarial Science or Economics, or another quantitative discipline.
• Postgraduate studies or certifications in Data Science, Machine Learning, FRM, or CFA are advantageous.

Contact

Kayla Reddy

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Key Skills: ArcGIS, Intelligence Community Experience, GIS, Python, Computer Networking, Data Collection, Intelligence Experience, R, Relational Databases, Analysis Skills, Data Management, Application Development

Employment Type: Full‑Time