Lead Algorithmic Trader

Placements24; Rustenburg; Hybride; ZAR 1 500 000 - 3 000 000; Plein temps

Résumé du poste

Placements24 is seeking a Lead Algorithmic Trader to architect and drive quantitative trading strategies in a fully remote role. You will design, backtest, deploy, and monitor high-frequency algorithms while collaborating with a world-class team of quants, developers, and researchers.

The ideal candidate has 5+ years in algorithmic trading, holds an advanced degree, and excels in C++, Python, and ML applications to trading.

Qualifications

• Advanced degree (Master's or Ph.D.) in a quantitative field.
• 5+ years of hands-on experience in algorithmic trading or low-latency systems.
• Expert-level proficiency in C++ and Python.
• Strong knowledge of market microstructure and ML techniques.
• Proven track record in developing profitable trading algorithms.

Responsabilités

• Design, develop, implement, and backtest high-frequency trading algorithms.
• Analyze real-time market data to identify opportunities and execute strategies.
• Optimize algorithms for speed, performance and efficiency.
• Collaborate with quants, developers, and researchers to enhance architecture.
• Monitor system performance and resolve issues proactively.
• Research new methodologies, market impact, and predictive models.
• Scale the trading infrastructure in a low-latency environment.

Connaissances

C++

Python

Low-latency

Machine learning

Quant research

Remote work

Distributed systems

Formation

Master's or PhD in CS/Engineering/Math/Physics

Outils

Linux

CUDA

Trading infra

Description du poste

About the Role

Our client, a progressive fintech firm, is seeking an accomplished Lead Algorithmic Trader to spearhead their quantitative trading strategies. This is a critical, fully remote position, requiring top-tier talent to design, develop, and deploy sophisticated high-frequency trading algorithms. The successful candidate will leverage advanced programming skills, deep market microstructure knowledge, and cutting-edge machine learning techniques to gain a competitive edge. You will be responsible for the entire lifecycle of algorithmic trading strategies, from conceptualization and backtesting to live trading and performance monitoring. This role offers the unique opportunity to shape the future of our trading operations from anywhere. We foster a culture of innovation, collaboration, and continuous improvement in a purely remote setting. The ideal candidate is highly motivated, possesses exceptional problem-solving abilities, and thrives in a fast-paced, intellectually demanding environment. Joining our remote team means contributing directly to significant trading successes.

Key Responsibilities

• Design, develop, implement, and backtest high-frequency and quantitative trading algorithms.
• Analyze market data in real-time to identify trading opportunities and execute strategies.
• Optimize existing trading algorithms for performance, speed, and efficiency.
• Collaborate with quants, developers, and researchers to enhance trading infrastructure and strategy frameworks.
• Monitor trading system performance, identify and resolve issues proactively.
• Conduct research into new trading methodologies, market impact, and predictive modeling.
• Manage and scale the algorithmic trading infrastructure in a low-latency environment.
• Ensure adherence to risk management protocols and regulatory compliance.
• Stay abreast of technological advancements and market microstructure changes.

Requirements

• Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline.
• 5+ years of hands-on experience in algorithmic trading, quantitative research, or low-latency systems development within the financial industry.
• Expert-level proficiency in C++, Python, or similar low-level programming languages.
• Strong understanding of statistical modeling, machine learning, and data mining techniques.
• Proven track record of developing and deploying profitable trading algorithms.
• In-depth knowledge of financial market microstructure, order book dynamics, and trading execution venues.
• Experience with distributed systems, parallel computing, and performance optimization.
• Excellent problem-solving skills and the ability to work independently and under pressure in a remote setting.
• Strong communication skills to articulate complex technical concepts.

Benefits

• Highly competitive base salary and substantial performance-based bonuses.
• Potential for profit-sharing in trading strategies.
• Comprehensive healthcare coverage.
• Generous annual leave and flexible working hours.
• Significant budget for professional development, conferences, and training.
• Opportunity to work with a world-class team of traders and technologists.
• Access to powerful computing resources and cutting-edge trading technology.
• Fully remote work environment with maximum autonomy.