Senior Quantitative Analyst

About the Role

Our client is seeking a highly skilled and experienced Senior Quantitative Analyst to join their innovative financial modeling team in Soweto. This hybrid role involves developing and implementing sophisticated mathematical models to support trading strategies, risk management, and product development within the financial markets. You will work with large datasets, advanced statistical techniques, and programming languages to derive actionable insights and drive business performance.

This is an exceptional opportunity for a quantitative expert to contribute to cutting-edge financial solutions in a collaborative environment.

• Develop, test, and implement complex quantitative models for pricing, risk, and trading applications.
• Analyze large datasets to identify patterns, trends, and opportunities.
• Collaborate with traders, portfolio managers, and risk officers to translate business needs into quantitative solutions.
• Ensure the accuracy, validity, and robustness of all models developed.
• Stay abreast of the latest academic research and industry trends in quantitative finance.
• Contribute to the development and enhancement of the firm's quantitative infrastructure.

• Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• 5+ years of experience in quantitative analysis within investment banking, asset management, or hedge funds.
• Proficiency in programming languages such as Python, R, C++, or Java.
• Strong knowledge of statistical modeling, machine learning, and financial mathematics.
• Experience with financial derivatives and risk management frameworks.
• Excellent problem-solving abilities and strong communication skills.

• Highly competitive salary and significant bonus potential.
• Hybrid work arrangement offering a balance of remote and office work.
• Comprehensive health and wellness benefits.
• Opportunities for professional development, including conference attendance and further education.
• Access to state-of-the‑art technology and research resources.