Quantitative Risk Analyst

Our client, a prominent financial services group, is seeking a highly skilled Quantitative Risk Analyst to join their esteemed Risk Management department in Rustenburg, North West . This role is central to identifying, assessing, and mitigating financial risks across the organization. The Quantitative Risk Analyst will be instrumental in developing and implementing sophisticated risk models, performing stress testing, and providing quantitative insights to support strategic decision-making.

This position offers an excellent career opportunity for a mathematically inclined professional to apply advanced statistical and computational techniques in a challenging and dynamic environment. The role requires a strong analytical mindset, proficiency in programming languages commonly used in quantitative finance, and a deep understanding of financial markets and risk management principles. Collaboration with various business units will be key to ensuring comprehensive risk coverage.

• Develop, validate, and implement quantitative models for market risk, credit risk, and operational risk.
• Conduct stress testing and scenario analysis to assess the resilience of the firm's financial position.
• Analyze and interpret complex datasets to identify potential risk exposures and trends.
• Design and perform back-testing of models to ensure their accuracy and effectiveness.
• Contribute to the development and refinement of risk management policies and procedures.
• Prepare detailed reports and presentations on risk exposures and model performance for senior management and regulatory bodies.
• Collaborate with IT and business units to ensure data integrity and effective implementation of risk management systems.
• Stay abreast of regulatory changes and industry best practices in quantitative risk management.
• Provide quantitative support for new product development and business initiatives.
• Contribute to the overall risk framework and governance within the organization.

• Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
• A minimum of 4-6 years of experience in quantitative risk management, financial modeling, or a related analytical role within the financial services industry.
• Proficiency in programming languages such as Python, R, C++, or MATLAB.
• Strong understanding of statistical modeling, time series analysis, machine learning techniques, and financial econometrics.
• Knowledge of regulatory frameworks like Basel III and IFRS 9 is highly advantageous.
• Excellent analytical, problem-solving, and quantitative skills.
• Ability to communicate complex quantitative concepts effectively to non-technical stakeholders.
• Experience with financial data providers (e.g., Bloomberg, Fact Set) is a plus.
• Must be willing to work a hybrid schedule in our Rustenburg, North West office.

• Competitive remuneration package and performance-based incentives.
• Comprehensive medical aid and retirement fund contributions.
• Opportunities for advanced training and professional certifications.
• Exposure to cutting-edge risk management techniques and technologies.
• A stimulating and intellectually challenging work environment.
• Hybrid work model to support a healthy work-life balance.
• Career progression opportunities within a leading financial group.