Senior Quantitative Trader (Remote)

Placements24; Gauteng; Remote; ZAR 3,005,000 - 5,342,000; Full time

Benefits offered by this job

Remote work

Profit sharing

Stock options

Flexible hours

Continued learning

Job summary

Placements24 invites applications for a Remote Algorithmic Trading Strategist with a strong mathematical background to design, backtest, and implement sophisticated trading algorithms across asset classes. You will work with a globally distributed team in a high-frequency trading environment, publishing rigorous research, optimizing execution, and managing risk to drive alpha and trading performance.

We seek 5+ years in quantitative research, a Master’s or PhD, and fluency in Python, C++ or Java

Qualifications

• Master's or PhD in a quantitative field.
• 5+ years of experience in quantitative research or algorithmic trading.
• Strong programming skills in Python, C++, or Java.
• Experience with high-frequency trading environments is highly desirable.

Responsibilities

• Research, design, and develop quantitative trading strategies using statistical and machine learning techniques.
• Backtest strategies rigorously using historical data and performance analysis.
• Implement trading algorithms in production with focus on performance and stability.
• Collaborate with researchers and developers to refine strategies and execution systems.
• Monitor live trading, identify issues, and adjust as needed.
• Analyze market microstructure for trading opportunities.
• Stay updated with quantitative finance and ML developments.
• Contribute to research direction and strategy development.
• Document designs, findings, and implementation details thoroughly.
• Manage risk associated with trading strategies.

Skills

Python

C++

Java

Statistics

Time series analysis

Machine learning

Problem solving

Education

Master's or PhD in a quantitative field

Job description

Showing 13 Senior Quantitative Trader jobs in remote

About the Role

Our client, a cutting-edge quantitative trading firm, is seeking an exceptional Remote Algorithmic Trading Strategist to join their globally distributed team. This role is for a highly analytical and mathematically inclined individual to design, develop, backtest, and implement sophisticated trading algorithms across various asset classes. This is a fully remote position, offering flexibility and the opportunity to work alongside world-class quantitative researchers and developers. The strategist will be responsible for generating alpha through innovative quantitative strategies, contributing directly to the firm's trading performance. The focus is on research, innovation, and disciplined execution in a high-frequency trading environment.

Key Responsibilities

• Research, design, and develop quantitative trading strategies using statistical and machine learning techniques.
• Perform rigorous backtesting and statistical analysis of strategy performance using historical data.
• Implement trading algorithms in a production environment, focusing on performance, stability, and efficiency.
• Collaborate with quantitative developers and researchers to refine and optimize trading strategies and execution systems.
• Monitor live trading performance, identify potential issues, and implement necessary adjustments.
• Analyze market microstructure and identify opportunities for algorithmic trading.
• Stay abreast of the latest research and developments in quantitative finance, machine learning, and algorithmic trading.
• Contribute to the firm's overall research direction and strategy development.
• Document strategy designs, research findings, and implementation details thoroughly.
• Manage risk associated with trading strategies effectively.

Requirements

• Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, Engineering, or Financial Engineering.
• Minimum of 5 years of experience in quantitative research, algorithmic trading strategy development, or a similar role within a hedge fund, prop trading firm, or investment bank.
• Proven track record of developing profitable and robust trading strategies.
• Advanced proficiency in programming languages such as Python, C++, or Java, and experience with relevant scientific computing libraries.
• Deep understanding of statistical modeling, time series analysis, machine learning algorithms, and stochastic calculus.
• Expertise in financial markets, including equities, futures, options, and foreign exchange.
• Experience with large datasets and high-frequency trading environments is highly desirable.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and collaboration skills, especially in a remote team setting.
• Ability to work independently, manage priorities, and deliver results in a fast-paced, dynamic environment.

Benefits

• Highly competitive salary and exceptional performance-based bonus structure, directly tied to trading P&L.
• Fully remote work arrangement with flexible hours.
• Opportunity to work on challenging and intellectually stimulating problems.
• Access to significant capital for strategy deployment.
• Comprehensive health, dental, and vision insurance plans.
• Generous allocation of company stock options or profit-sharing.
• Continuous learning and professional development opportunities, including support for attending conferences.
• Collaborative environment with highly intelligent and motivated colleagues worldwide.

Note: This is a refined excerpt focusing on a single remote opportunity and its core requirements and benefits. Other unrelated or boilerplate content has been omitted to meet formatting and content quality standards.