Remote Lead Quantitative Developer

Placements24

Cape Town

Hybrid

ZAR 2,988,000 - 4,315,000

Full time

4 days ago
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Benefits offered by this job

Stock options and bonuses
Health, dental, vision insurance
Work from home stipend

Job summary

Placements24 is seeking a Remote Lead Quantitative Developer to design and optimize high-frequency trading systems. You will spearhead development of trading algorithms, risk management, and market data infrastructure for a global client base.

The ideal candidate holds a Master’s or PhD in a quantitative field, 7+ years in quantitative development, and expert C++/Python skills. Remote-first, with leadership responsibilities and opportunities to shape architecture.

Qualifications

  • 7+ years in quantitative development, ideally in high-frequency trading.
  • Expert level proficiency in C++ and Python.
  • Strong understanding of financial markets, trading strategies, and statistical arbitrage.
  • Experience with real-time systems, low-latency programming, and performance optimization.
  • Proven leadership with ability to mentor and manage technical teams.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to work effectively in a fully remote, asynchronous team environment.

Responsibilities

  • Lead the design, development, and maintenance of quantitative trading strategies and algorithms.
  • Develop robust, high-performance, low-latency trading systems and infrastructure.
  • Implement and optimize real-time risk management and trade execution logic.
  • Analyze large market data sets to identify opportunities and refine models.
  • Mentor junior developers and drive technical excellence.

Skills

Leadership
C++
Python
Real-time systems
Low-latency
Machine learning
Problem-solving
Communication

Education

Master's or PhD in a quantitative field

Job description

About the Role

Our client, a pioneering quantitative trading firm, is seeking an exceptional Remote Lead Quantitative Developer to spearhead development efforts for our cutting-edge trading systems. This is a fully remote position, offering unparalleled flexibility and the opportunity to work with a global team of top-tier finance and technology professionals. You will be instrumental in designing, implementing, and optimizing high-frequency trading algorithms, risk management systems, and market data infrastructure. We are looking for a visionary leader with a deep understanding of financial markets, exceptional programming skills, and a passion for innovation. If you thrive in a challenging, results-driven, and remote-first environment, this role is for you. You will be based remotely, contributing to our operations that serve clients worldwide.

Key Responsibilities
  • Lead the design, development, and maintenance of quantitative trading strategies and algorithms.
  • Develop robust, high-performance, low-latency trading systems and infrastructure.
  • Implement and optimize real-time risk management systems and trade execution logic.
  • Analyze large datasets of market data to identify trading opportunities and refine models.
  • Collaborate closely with portfolio managers and researchers to translate research ideas into production-ready code.
  • Mentor and guide junior quantitative developers, fostering a culture of technical excellence.
  • Ensure code quality, performance, and scalability through rigorous testing and code reviews.
  • Contribute to architectural decisions and technology selection for the quantitative development team.
  • Stay current with the latest advancements in quantitative finance, machine learning, and high-performance computing.
Requirements
  • Master's or PhD in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field.
  • 7+ years of experience in quantitative development, ideally within a high-frequency trading environment.
  • Expert-level proficiency in C++ and Python.
  • Strong understanding of financial markets, trading strategies, and statistical arbitrage.
  • Experience with real-time systems, low-latency programming, and performance optimization.
  • Proficiency in data analysis, algorithm development, and machine learning techniques.
  • Demonstrated leadership experience, with the ability to mentor and manage technical teams.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to work effectively in a fully remote, asynchronous team environment.
Benefits
  • Highly competitive salary and performance-based bonuses.
  • Generous stock options and long-term incentives.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) plan with employer matching.
  • Unlimited paid time off (PTO) policy.
  • Home office stipend for setting up your ideal remote workspace.
  • Opportunities to work on challenging and intellectually stimulating problems in the fintech space.
  • Direct impact on the firm's trading strategies and profitability.
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