Johannesburg North: Quantitative Analyst posted by Communicate Finance

Leadership and Collaboration:
Contribute positively to team culture and continuous learning
Collaborate with senior analysts and crossfunctional teams to support strategic credit initiatives
Demonstrate analytical curiosity and play an active role in innovation across the function
Support a highperformance 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 decisionmaking
Conduct deepdive portfolio analysis, including RWA and Economic Capital attribution and optimisation
Build dashboards and visualisation tools for realtime 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, Basel frameworks, and credit modelling techniques
Strong analytical and problemsolving capability
Excellent communication and stakeholder engagement
Ability to work independently and collaboratively within a highperforming team
 
Qualifications:
Degree in Mathematics, Statistics, Financial Engineering, Actuarial Science, Economics, or another quantitative discipline
Postgraduate studies or certifications in Data Science, Machine Learning, FRM, or CFA is advantageous
 
 
Contact:
Kayla Reddy
.za
 
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