Senior Quantitative Analyst; Quant
Johannesburg, 2000, South Africa
Listed on 2026-10-18
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Finance & Banking
Data Scientist, Financial Advisor / Consultant
About the Role
Our client, a prestigious investment bank with a significant presence in Johannesburg
, is seeking a highly skilled Senior Quantitative Analyst (Quant) to join their dynamic risk management division.
This role offers a challenging and rewarding opportunity to develop sophisticated financial models and analytical tools used across trading, risk, and portfolio management. You will work within a collaborative team environment, leveraging advanced mathematical and statistical techniques to solve complex financial problems. The position is based in our Johannesburg office, offering a hybrid work arrangement that combines the benefits of in-person collaboration with the flexibility of remote work.
This role is ideal for a seasoned professional looking to make a significant impact in the financial markets and advance their career in a leading institution.
- Develop, implement, and back-test quantitative models for pricing, risk management, and hedging of financial derivatives.
- Design and build sophisticated algorithms for trading strategies and portfolio optimization.
- Conduct in-depth statistical analysis of market data to identify trends and opportunities.
- Collaborate with traders, portfolio managers, and risk officers to understand their analytical needs and provide solutions.
- Implement quantitative models in production environments using high-level programming languages.
- Perform rigorous validation and stress testing of models to ensure accuracy and robustness.
- Research and explore new quantitative methodologies and technologies.
- Contribute to regulatory reporting and compliance requirements related to model risk.
- Present complex analytical findings to both technical and non-technical audiences.
- Mentor junior quantitative analysts and contribute to the team's knowledge base.
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or Economics.
- Minimum of 5 years of relevant experience as a Quantitative Analyst in the financial services industry.
- Strong theoretical and practical knowledge of financial markets, derivatives, and risk management principles.
- Proficiency in programming languages commonly used in quantitative finance, such as Python, C++, R, or Java.
- Experience with numerical methods, statistical modeling, machine learning, and data analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong understanding of database technologies and data manipulation.
- Effective communication and presentation skills, with the ability to explain complex concepts clearly.
- Ability to work independently and as part of a team in a fast-paced environment.
- Comfortable with a hybrid work model, splitting time between the Johannesburg office and remote work.
- Highly competitive base salary and annual bonus structure.
- Access to cutting-edge financial technology and data.
- Comprehensive medical aid and retirement fund.
- Generous leave allowance and other employee benefits.
- Opportunities for professional growth, training, and conference attendance.
- Hybrid work arrangement fostering work-life balance.
- Stimulating and intellectually challenging work environment.
- Exposure to a wide range of financial products and markets.
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