Data Scientist - Risk Modeling

Our client seeks a talented Data Scientist specializing in Risk Modeling to join their innovative team in Pretoria . This role is vital in leveraging advanced analytics and machine learning techniques to develop sophisticated risk assessment models, supporting strategic decision-making within the banking and finance sector . You will work with large datasets, extract meaningful insights, and build predictive models to mitigate financial risks.

This position offers an exciting opportunity to apply cutting-edge data science methodologies in a challenging and impactful capacity, contributing to the firm's robust risk management framework.

• Develop, validate, and implement statistical and machine learning models for credit risk, market risk, and operational risk.
• Analyze large, complex datasets to identify patterns, correlations, and predictive insights.
• Collaborate with risk management, business, and IT teams to define model requirements and ensure successful deployment.
• Perform rigorous model testing and validation, ensuring adherence to regulatory standards and best practices.
• Communicate complex analytical findings and model results clearly to both technical and non-technical audiences.
• Contribute to the continuous improvement of data science methodologies and risk modeling frameworks.

• Master's or Ph.D. in a quantitative field such as Statistics, Data Science, Mathematics, Computer Science, or Finance.
• Minimum of 4 years of experience in data science, with a focus on financial risk modeling.
• Proficiency in programming languages like Python or R, and relevant libraries (e.g., Scikit-learn, Tensor Flow, PyTorch).
• Strong experience with SQL and working with large databases.
• Deep understanding of statistical modeling, machine learning algorithms, and risk management principles.
• Experience with big data technologies and cloud platforms is a plus.

• Competitive salary and performance bonuses.
• Comprehensive benefits package including medical and retirement plans.
• Access to advanced tools and technologies for data analysis.
• Opportunities for continuous learning and professional development in Pretoria .
• A stimulating work environment focused on innovation in financial risk management.