Remote Lead Quant Developer - Low-Latency Trading & ML

Placements24

Cape Town

Hybrid

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

Full time

3 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

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.

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