Credit Risk Data Scientist

Recruiter:

Network Recruitment

Job Ref:

NFP017031/ZG

Date posted:

Monday, August 24, 2026

Location:

Johannesburg, South Africa

Salary:

Annually

SUMMARY:

Our client is a leading financial services organisation that places data, analytics, and innovation at the centre of its decision-making. By leveraging advanced data science techniques and risk analytics, they continuously enhance customer outcomes, strengthen risk management capabilities, and drive sustainable business growth.

This is an exciting opportunity for a highly analytical and technically skilled Credit Risk Data Scientist to join a high-performing risk analytics team. The successful candidate will play a key role in developing and monitoring credit risk models, analysing portfolio performance, automating reporting processes, and generating actionable insights that influence strategic business decisions.

POSITION INFO:
If you're passionate about working with large-scale datasets, building predictive models, and solving complex business challenges through data-driven solutions, this could be the ideal next step in your career. Key Responsibilities Develop, enhance, and monitor credit risk models across the customer credit lifecycle. Conduct portfolio performance analysis to identify trends, emerging risks, opportunities, and key risk drivers. Perform exploratory data analysis, segmentation, feature engineering, and model performance assessments. Support model validation, calibration, back-testing, and governance processes. Design, develop, and maintain automated reporting solutions and management dashboards. Build and enhance business intelligence tools to support portfolio monitoring and decision-making. Extract, transform, validate, and analyse large datasets from multiple sources. Produce regular and ad hoc risk reports, investigations, and analytical insights. Support the optimisation of credit risk strategies through data-driven recommendations. Investigate data quality concerns and contribute to remediation initiatives. Partner with business and technical stakeholders to deliver analytical and reporting solutions. Drive process improvements, automation initiatives, and enhanced risk monitoring capabilities. Requirements Education Degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Actuarial Science, Economics, Finance, or a related quantitative field. Experience 3 to 6 years' experience within Credit Risk Analytics, Data Science, Quantitative Analytics, Risk Modelling, or a similar analytical environment. Experience within Banking, Financial Services, Lending, FinTech, or Credit Risk environments. Proven experience developing, monitoring, or enhancing predictive models, scorecards, or risk modelling frameworks. Strong exposure to portfolio analytics, performance monitoring, and data-driven decision-making. Experience working with large, complex datasets to generate meaningful business insights. Exposure to model performance tracking, validation, and governance processes. Experience developing automated reporting solutions and analytical dashboards. Technical Skills Advanced SQL for data extraction, transformation, and analysis. Strong programming skills in Python, SAS, or similar analytical tools. Experience with Power BI, Tableau, or other data visualisation platforms. Solid understanding of predictive modelling, statistical techniques, and quantitative analysis. Knowledge of credit risk concepts including scorecards, portfolio management, provisioning, and model performance measurement. Experience with reporting automation and process optimisation will be advantageous. Competencies Strong analytical and problem-solving abilities. Excellent attention to detail and critical-thinking skills. Ability to translate complex data into actionable business insights. Effective communication and stakeholder management skills. Comfortable presenting technical findings to both technical and non-technical audiences. Apply Now For more exciting opportunities in Actuarial, Data Science, Analytics, Quantitative Risk, Credit Risk, Pricing, Product Development, and Market Risk , visit: \/> If you have not received feedback within two weeks of your application, please consider your application unsuccessful. Your profile will, however, be retained on our database for future suitable opportunities. Zahrah Gani Specialist Recruitment Consultant LinkedIn:

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