Lead Quantitative Analyst

Placements24; Randburg; Hybride; ZAR 1 800 000 - 3 000 000; Plein temps

Avantages offerts par ce poste

Top-tier compensation with performance

Fully remote work

Stock options or profit-sharing

Access to cutting-edge research tools

Résumé du poste

Placements24 is seeking an experienced Lead Quantitative Analyst to spearhead research and development of mathematical models for trading, risk, and derivatives pricing. The role is fully remote, allowing global collaboration with traders and portfolio managers and leading a team of analysts.

You will mentor juniors, drive alpha generation, backtest rigorously, and implement cutting-edge techniques in ML, econometrics, and statistics, with a focus on robust, scalable systems.

Qualifications

• Ph.D. or Master's in a quantitative field (Math, Stats, Physics, CS, or Financial Engineering).
• At least 7 years of quantitative finance experience with trading or risk models.
• Expert in Python, C++, or R with relevant libraries.
• Strong knowledge of derivatives pricing, portfolio optimization, and risk management.
• Proven leadership and ability to mentor a team.

Responsabilités

• Lead design and deployment of quantitative models for markets.
• Mentor a team of quantitative analysts and guide career development.
• Collaborate with traders, PMs, and risk managers to translate needs.
• Backtest and analyze performance of trading strategies.
• Research cutting-edge methods in ML, statistics, and econometrics.
• Ensure robustness and efficiency of all systems.

Connaissances

Leadership

Quantitative modeling

Mentoring

Formation

PhD or Master's in quantitative field

Outils

Python

C++

R

Description du poste

About the Role

Our client is seeking an experienced and innovative Lead Quantitative Analyst to spearhead their quantitative research and development efforts, operating entirely remotely. This senior role involves designing, developing, and implementing sophisticated mathematical models and algorithms for trading strategies, risk management, and pricing derivatives. You will lead a team of quantitative analysts, mentor junior members, and collaborate with traders and portfolio managers to drive alpha generation and optimize risk-adjusted returns. This is a fully remote position for a visionary leader in the quantitative finance space, contributing significantly to the firm's competitive edge.

Key Responsibilities

• Lead the design, development, and implementation of complex quantitative models and algorithms for financial markets.
• Mentor and manage a team of quantitative analysts, providing technical guidance and career development support.
• Collaborate closely with traders, portfolio managers, and risk managers to translate business needs into quantitative solutions.
• Conduct rigorous backtesting and performance analysis of trading strategies and models.
• Research and implement cutting-edge methodologies in areas such as machine learning, statistical modeling, and econometrics.
• Ensure the robustness, accuracy, and efficiency of all deployed quantitative systems.

Requirements

• Ph.D. or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
• Minimum of 7 years of experience in quantitative finance, with a proven track record in developing and implementing trading or risk models.
• Expertise in programming languages such as Python, C++, or R, and experience with relevant libraries.
• Strong understanding of financial markets, derivatives pricing, portfolio optimization, and risk management.
• Excellent analytical, problem-solving, and research skills.
• Proven leadership experience and the ability to manage and inspire a team.

Benefits

• Exceptional, top-tier compensation package including a substantial base salary and performance-driven bonuses.
• Fully remote work environment with complete flexibility in working hours and location.
• Comprehensive health, dental, and vision insurance.
• Generous allocation of stock options or profit-sharing opportunities.
• Access to cutting-edge technology and resources for research and development.