Senior Quantitative Analyst - Remote
Sandton, 2172, South Africa
Listed on 2026-10-20
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Finance & Banking
Data Scientist
Our client, a leading quantitative trading firm, is seeking a highly skilled Senior Quantitative Analyst to join their fully remote team. This is an exciting opportunity for a mathematically inclined professional to develop and implement sophisticated trading algorithms and risk models. The role is 100% remote, enabling you to work from any location within South Africa, contributing to our cutting-edge research and development efforts.
You will leverage advanced statistical techniques, machine learning, and programming skills to drive innovation in financial markets. This position requires a strong academic background, deep understanding of financial instruments, and exceptional programming capabilities.
- Design, develop, and backtest quantitative trading strategies and models.
- Implement and optimize algorithms for execution across various asset classes.
- Conduct in-depth statistical analysis of market data to identify trading opportunities.
- Develop and maintain risk management models to monitor and control portfolio exposures.
- Collaborate with portfolio managers and traders to refine strategies and improve performance.
- Research and apply advanced machine learning techniques to financial modeling problems.
- Analyze large datasets to extract meaningful insights and inform decision-making.
- Ensure the robustness, scalability, and efficiency of implemented solutions.
- Stay abreast of the latest developments in quantitative finance, econometrics, and data science.
- Document methodologies, research findings, and system designs thoroughly.
- Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of experience in quantitative analysis, algorithmic trading, or related fields within the financial industry.
- Expertise in statistical modeling, time series analysis, and machine learning algorithms.
- Proficiency in programming languages such as Python, C++, or R, including relevant libraries (e.g., Num Py, Pandas, Scikit-learn).
- Strong understanding of financial markets, derivatives, and portfolio theory.
- Experience with large-scale data processing and database management.
- Excellent analytical, problem-solving, and research skills.
- Ability to work independently and manage complex projects in a remote setting.
- Strong communication and collaboration skills, with the ability to explain complex concepts clearly.
- Demonstrated ability to work effectively in a fast-paced, research-driven environment.
Our client offers a highly competitive compensation package, including a significant base salary, substantial performance-based bonuses, and potential equity participation. This is a fully remote position providing exceptional work-life balance and flexibility. You will have access to state-of-the-art tools and resources, and opportunities for continuous professional growth through challenging projects and virtual learning initiatives. Join a forward-thinking team shaping the future of quantitative finance.
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