Lead Quantitative Analyst

Placements24; Sandton; Hybrid; ZAR 2,000,000 - 3,500,000; Full time

Benefits offered by this job

Executive compensation package

Access to cutting-edge technology and研

Job summary

Placements24 is recruiting a Lead Quantitative Analyst for a fully remote role with a pioneering fintech client. You will develop and implement sophisticated quantitative models for trading strategies, risk management, and derivative pricing, while leading a team of quants in a high-performance environment.

The role requires a PhD or MSc in a quantitative field, 7+ years in quant analysis, and strong programming skills in C++, Python, or R, with a track record in research and deployment of

Qualifications

• PhD or MSc in a quantitative field is required.
• 7+ years of quantitative analysis experience.
• Experience in investment banking or hedge funds is preferred.
• Strong remote collaboration and leadership capabilities.

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 development.
• Conduct research into market microstructure, asset pricing, and trading algorithms.
• Collaborate with software engineers to integrate models into production trading systems.
• Analyze trading performance and identify model enhancements and optimization.
• Ensure mathematical soundness and robustness of developed models.
• Stay current with academic research and industry trends in quantitative finance.

Skills

Statistical modeling

Stochastic calculus

Numerical methods

High-performance computing

Leadership

Education

PhD or MSc in quantitative field

Tools

C++

Python

R

Job description

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.