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Lead Quantitative Analyst

Remote / Online - Candidates ideally in
Sandton, 2172, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-10-17
Job specializations:
  • Finance & Banking
    Data Scientist, FinTech, Mathematics
Job Description & How to Apply Below
About the Role

Our client, a pioneering fintech firm, is seeking an experienced Lead Quantitative Analyst for a fully remote position. This role is critical in developing and implementing sophisticated quantitative models for trading strategies, risk management, and pricing derivatives. You will lead a team of quants, drive research initiatives, and collaborate closely with traders and technologists to translate complex mathematical concepts into practical trading solutions.

The ideal candidate possesses a deep theoretical understanding of financial mathematics and statistics, coupled with practical experience in building and deploying models in a high-frequency trading environment, fostering innovation in a remote setting.

Key Responsibilities
  • Develop, test, and implement advanced quantitative models for trading, risk management, and derivative pricing.
  • Lead and mentor a team of quantitative analysts, overseeing project execution and technical development.
  • Conduct rigorous research into market microstructure, asset pricing, and trading algorithms.
  • Collaborate with software engineers to integrate quantitative models into production trading systems.
  • Analyze trading performance and identify areas for model enhancement and optimization.
  • Ensure the mathematical soundness and robustness of all developed models.
  • Stay current with academic research and industry trends in quantitative finance.
Requirements
  • Ph.D. or Master's degree in a highly quantitative field such as Mathematics, Physics, Computer Science, or Financial Engineering.
  • Minimum of 7 years of experience in quantitative analysis, preferably in investment banking or hedge funds.
  • Expertise in statistical modeling, stochastic calculus, and numerical methods.
  • Proficiency in programming languages like C++, Python, or R, with experience in high-performance computing.
  • Strong understanding of financial markets, derivatives, and risk management principles.
  • Proven leadership and project management skills.
  • Excellent analytical and problem-solving capabilities, with strong communication skills for remote collaboration.
Benefits
  • Executive-level compensation package including a substantial base salary and year-end bonus.
  • Access to cutting-edge technology and research resources.
  • Comprehensive health, wellness, and retirement benefits.
  • Significant autonomy and influence on trading strategies and model development.
  • A dynamic, intellectually stimulating, and remote-first work culture.
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