Quantitative Risk Analyst

Placements24; Rustenburg; Hybrid; ZAR 650,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Medical aid

Retirement fund

Professional certifications

Career progression

Job summary

Placements24 is seeking a highly skilled Quantitative Risk Analyst for a leading financial services group in Rustenburg, North West. The role focuses on building and validating risk models, performing stress tests, and delivering quantitative insights to support decision-making.

Candidates should hold a Master’s or PhD in a quantitative field, have 4–6 years in risk management, and be proficient in Python, R, C++, or MATLAB.

Qualifications

• Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Economics or Financial Engineering.
• 4–6 years of experience in quantitative risk management or related analytical roles within financial services.
• Proficiency in Python, R, C++, or MATLAB.
• Strong knowledge of statistical modeling, time series, machine learning and econometrics.
• Knowledge of Basel III and IFRS 9 is advantageous.
• Excellent analytical and communication skills for non-technical stakeholders.
• Experience with financial data providers (e.g., Bloomberg, FactSet) is a plus.
• Hybrid work in Rustenburg, North West office.

Responsibilities

• Develop, validate, and implement quantitative models for market, credit, and operational risk.
• Conduct stress testing and scenario analysis to assess resilience.
• Analyze datasets to identify risk exposures and trends.
• Back-test models to ensure accuracy and effectiveness.
• Contribute to risk management policies and procedures.
• Prepare detailed risk reports for senior management and regulators.
• Collaborate with IT to ensure data integrity and system implementation.
• Stay current with regulatory changes and best practices.
• Provide quantitative support for new products and business initiatives.
• Contribute to the overall risk framework and governance.

Skills

Statistical modeling

Time series analysis

Machine learning

Financial econometrics

Quantitative risk analysis

Education

Master's or PhD in a quantitative field

Tools

Python

R

C++

MATLAB

Job description

About the Role

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.

Key Responsibilities

• 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.

Requirements

• 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, FactSet) is a plus.
• Must be willing to work a hybrid schedule in our Rustenburg, North West office.

Benefits

• 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.