Quantitative Analyst

Mindcor-InterSearch; Johannesburg; Presencial; ZAR 700.000 - 900.000; Jornada completa

Descripción de la vacante

Mindcor is seeking a Quantitative Analyst in Johannesburg to apply statistical modelling, predictive analytics and machine learning to credit portfolio performance and pricing strategies.

The role involves developing analytics frameworks, validating models, and delivering dashboards while engaging stakeholders to drive risk-adjusted returns.

Formación

• Degree in Mathematics/Statistics or related quantitative field.
• 2+ years in credit risk analytics or portfolio management.
• Proficiency with SAS, Python, R and SQL for analytics.
• Familiarity with IFRS 9 and Basel frameworks; strong communication skills.

Responsabilidades

• Develop and maintain advanced quantitative analytics frameworks for credit portfolio management.
• Apply statistical modelling, machine learning and predictive analytics across the credit lifecycle.
• Contribute to credit origination models and methodologies in line with portfolio objectives and risk appetite.
• Analyse portfolio performance to identify risks, drivers and optimisation opportunities.
• Develop dashboards and perform pricing analytics to evaluate risk-based pricing and returns.

Conocimientos

SAS

Python

R

SQL

Credit risk

Portfolio management

Educación

Degree in Mathematics/Statistics

-related quantitative field

Herramientas

IFRS 9

Basel frameworks

Descripción del empleo

Financial Services Sector | Johannesburg

Are you passionate about quantitative modelling, credit risk analytics and data science? Do you enjoy using advanced analytics and machine learning to solve complex business challenges and influence strategic decision-making?

An opportunity is available for a Quantitative Analyst to apply statistical modelling, predictive analytics and innovative data-driven techniques to enhance credit portfolio performance, optimise pricing strategies and improve risk-adjusted returns within a leading financial services organisation in the investment sector.

This role offers the opportunity to contribute to advanced model development, uncover meaningful portfolio insights and support smarter, data-driven business decisions.

Key Focus Areas:

• Develop and maintain advanced quantitative analytics frameworks for credit portfolio management.
• Apply statistical modelling, machine learning and predictive analytics across the credit lifecycle.
• Contribute to credit origination models and methodologies aligned with portfolio objectives and risk appetite.
• Analyse portfolio performance to identify emerging risks, performance drivers and opportunities for optimisation.
• Conduct pricing analytics to evaluate risk-based pricing strategies, model performance and risk-adjusted returns.
• Develop interactive dashboards and apply customer behaviour and cross-selling analytics to identify growth opportunities.

Experience & Educational Requirements

• A degree in Mathematics, Statistics, Financial Engineering, Economics, Actuarial Science or a related quantitative field.
• At least 2 years’ experience in credit risk analytics, portfolio management or a related quantitative environment.
• Proven experience using SAS, Python, R and SQL for analytics and quantitative modelling.
• Familiarity with IFRS 9, Basel frameworks and advanced credit modelling techniques.
• Strong analytical, problem-solving and communication skills, with the ability to translate complex findings into actionable insights.
• Demonstrated business acumen, stakeholder engagement and a commitment to continuous learning; postgraduate qualifications or relevant certifications in Data Science, Machine Learning, FRM or CFA would be advantageous.

Why Consider This Opportunity?

• Apply advanced analytics and machine learning to real-world credit and pricing challenges.
• Contribute to model development and data-driven business strategies.
• Collaborate with multidisciplinary stakeholders in a high-performance environment.
• Develop your expertise in quantitative analytics, credit risk and portfolio optimisation.

The Ideal Candidate:

You are curious, adaptable and results-driven, with a strong quantitative foundation and the ability to connect technical analysis with commercial outcomes. You enjoy continuous improvement, sharing knowledge and turning data into meaningful business insights.

Mindcor will respond to shortlisted candidates only. If you do not hear back within two weeks, please consider your application unsuccessful. Your profile will, however, be retained for future opportunities.

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