Johannesburg North: Senior Quantitative Analyst posted by Communicate Finance

Leadership and Collaboration:
Contribute to a culture of innovation, continuous learning, and analytical excellence.
Collaborate effectively across Credit Analytics, Risk, Finance, and Strategy teams.
Mentor junior analysts, providing coaching, knowledgesharing, and constructive feedback.
Support change initiatives as the organisation accelerates digital transformation.
Demonstrate alignment to organisational values and actively support a highperformance culture.
 
Technical & Analytical Responsibilities:
Develop and maintain advanced analytics frameworks for credit portfolio management.
Provide advisory input on origination modelling strategies aligned to portfolio targets and risk appetite.
Enhance traditional modelling approaches and develop machinelearning–based predictive and prescriptive solutions across the credit lifecycle.
Lead portfolio tilt strategies, performance monitoring, and optimisation initiatives.
Strengthen riskreturn analytics, including RWA and Economic Capital optimisation.
Support scenario analysis, stresstesting, and advanced attribution modelling.
Provide insights on pricing strategies to improve riskadjusted returns.
Conduct deepdive portfolio analyses to identify emerging risks and strategic opportunities.
Build interactive dashboards and visualisations for realtime monitoring and reporting.
Integrate analytics into strategic planning and risk appetite frameworks.
 
Skills & Experience:
Minimum 5+ years’ experience in credit risk analytics, portfolio management, or related areas
Strong proficiency in SAS, Python, R, SQL
Experience with IFRS9, Basel frameworks, and advanced credit modelling techniques
Excellent analytical and problemsolving skills
Strong communication and stakeholderengagement capability
Ability to influence strategy while remaining handson with model development and analytics
 
Qualifications:
Degree in Mathematics, Statistics, Financial Engineering, Actuarial Science, Economics, or similar quantitative field
Postgraduate qualification or certifications (e.g., Data Science, Machine Learning, FRM, CFA) advantageous
 
 
Contact:
Kayla Reddy
.za
 
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