Senior Quantitative Trader

Placements24; Sandton; On-site; ZAR 3,500,000 - 5,200,000; Full time

Benefits offered by this job

Profit sharing

Health benefits

Retirement planning

Trading technology

Job summary

Placements24 in Sandton, Gauteng, seeks a Senior Quantitative Trader to design, develop, and implement quantitative trading strategies across asset classes. You will leverage advanced statistical techniques, machine learning, and sophisticated algorithms to generate alpha and manage risk in fast-paced markets on-site.

The role requires 6+ years of quant trading or research, a strong academic background, and proficiency in Python, C++, or R.

Qualifications

• Master's or Ph.D. in a quantitative discipline (e.g., Financial Engineering, Mathematics, Statistics, Physics, Computer Science).
• 6+ years of experience in quantitative trading or research within a trading environment.
• Proven track record of developing and implementing successful trading strategies.
• Proficiency in Python, C++, or R with experience in numerical libraries.
• Deep understanding of financial markets, derivatives, and statistical modeling.
• Strong analytical, problem-solving, and communication skills.
• Ability to work under pressure in a high-stakes trading environment.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, and back-test quantitative trading strategies using statistical and ML models.
• Execute live trading strategies, manage risk, and optimize performance in real time.
• Analyze market data to identify trading opportunities and inefficiencies.
• Collaborate with quantitative researchers and developers to enhance trading infrastructure and models.
• Monitor trading performance, conduct post-trade analysis, and provide insights.
• Manage portfolio risk and ensure compliance with trading mandates and regulations.
• Stay abreast of the latest advancements in quantitative finance, technology, and market microstructure.
• Contribute to the firm's research and development efforts.
• Effectively communicate strategy ideas and performance results to the trading desk and management.

Skills

Python

C++

R

Machine Learning

Quantitative Modeling

Statistical Analysis

Education

Master's or Ph.D. in Financial Engineering/Math/Physics/CS

Job description

About the Role

Our client, a leading proprietary trading firm, is seeking a highly skilled and experienced Senior Quantitative Trader to join their dynamic team in Sandton, Gauteng . This demanding role involves designing, developing, and implementing quantitative trading strategies across various asset classes. You will leverage advanced statistical techniques, machine learning, and sophisticated algorithms to generate alpha and manage risk in fast-paced markets. This is a high-performance, on-site position within the competitive Banking & Finance sector, requiring exceptional analytical prowess and a deep understanding of financial markets.

Key Responsibilities

• Design, develop, and back-test quantitative trading strategies using statistical and machine learning models.
• Execute live trading strategies, manage risk, and optimize performance in real-time.
• Analyze market data to identify trading opportunities and market inefficiencies.
• Collaborate with quantitative researchers and developers to enhance trading infrastructure and models.
• Monitor trading performance, conduct post-trade analysis, and provide insights.
• Manage portfolio risk and ensure compliance with trading mandates and regulations.
• Stay abreast of the latest advancements in quantitative finance, technology, and market microstructure.
• Contribute to the firm's research and development efforts.
• Effectively communicate strategy ideas and performance results to the trading desk and management.

Requirements

• Master's or Ph.D. in a quantitative discipline such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
• Substantial experience (6+ years) in quantitative trading or quantitative research within a trading environment.
• Proven track record of developing and implementing successful quantitative trading strategies.
• Proficiency in programming languages like Python, C++, or R, and experience with numerical libraries.
• Deep understanding of financial markets, derivative instruments, and statistical modeling techniques.
• Strong analytical, problem-solving, and critical thinking skills.
• Ability to work under pressure in a high-stakes trading environment.
• Excellent communication and collaboration skills.

Benefits

We offer an extremely competitive compensation package, including a high base salary, significant performance-based bonuses, and potential for profit sharing. Comprehensive health and wellness benefits are provided, along with retirement planning options. Our firm fosters a culture of intellectual curiosity, continuous learning, and professional advancement. You will work alongside some of the brightest minds in the industry and have access to state-of-the-art trading technology and resources. This role offers unparalleled opportunities for financial and professional growth.