Lead Quantitative Analyst - Port Elizabeth | Trading & Risk Models

Placements24; Gqeberha; On-site; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Private medical insurance

Retirement savings plan

Equity participation

Job summary

Placements24 in Port Elizabeth seeks a Lead Quantitative Analyst to spearhead quantitative research and development for trading, risk management, and portfolio optimization. You will lead a team of quants, collaborate closely with traders and tech teams, and drive rigorous methodological standards.

The role requires a PhD or MSc in a quantitative field, 8+ years in finance, proficiency in C++, Python, or R, and a track record of deploying live models.

Qualifications

• PhD or MSc in Mathematics, Physics, Statistics, CS or Financial Engineering.
• Minimum of 8 years of experience as a Quant in investment banking, asset management, or hedge funds.
• Proven track record deploying quantitative models in live trading environments.
• Expertise in C++, Python, or R programming.
• Deep knowledge of stochastic calculus, time series, statistics, and ML.

Responsibilities

• Lead design, development, testing and deployment of quantitative models for trading, risk management and portfolio allocation.
• Mentor and manage a team of quantitative analysts, providing guidance and feedback.
• Conduct cutting-edge research into new modeling techniques and market insights.
• Collaborate with traders and PMs to translate needs into quantitative solutions.
• Develop and maintain high-performance computing systems for model execution and backtesting.
• Ensure robustness and efficiency of all developed models.
• Contribute to strategic decision-making through quantitative insights.

Skills

Leadership

Problem solving

Communication

Quantitative research

Mathematical modeling

Education

PhD or MSc in quantitative field

Tools

C++

Python

R

Job description

Placements24 in Port Elizabeth seeks a Lead Quantitative Analyst to spearhead quantitative research and development for trading, risk management, and portfolio optimization. You will lead a team of quants, collaborate closely with traders and tech teams, and drive rigorous methodological standards.

The role requires a PhD or MSc in a quantitative field, 8+ years in finance, proficiency in C++, Python, or R, and a track record of deploying live models.