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Remote Algorithmic Trader

Remote / Online - Candidates ideally in
Bloemfontein, 9300, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-11-01
Job specializations:
  • Finance & Banking
    Data Scientist, FinTech
Job Description & How to Apply Below
About the Role

Our client, a cutting-edge quantitative trading firm, is seeking highly skilled and motivated Remote Algorithmic Traders to join their globally distributed team. This position is entirely remote, offering the flexibility to work from anywhere, provided you have a reliable internet connection and a dedicated workspace. You will be responsible for designing, developing, implementing, and managing automated trading strategies across various financial markets.

This role is ideal for quantitative minds who thrive on data analysis, strategy optimization, and cutting-edge technology in a fully remote setting.

Key Responsibilities
  • Research, design, develop, and back-test sophisticated algorithmic trading strategies.
  • Implement trading strategies using programming languages such as Python, C++, or Java.
  • Monitor live trading performance, identify opportunities for improvement, and optimize existing strategies.
  • Analyze large volumes of market data to identify patterns, inefficiencies, and trading signals.
  • Collaborate remotely with quantitative researchers, developers, and other traders to share insights and enhance trading systems.
  • Manage risk effectively within trading portfolios and ensure compliance with firm policies.
  • Stay abreast of market trends, technological advancements, and new trading methodologies.
  • Contribute to the firm's overall trading strategy and technology development.
Requirements
  • Advanced degree (Master's or Ph.D.) in a quantitative field such as Computer Science, Mathematics, Physics, Statistics, or Financial Engineering.
  • Proven experience in algorithmic trading, quantitative research, or a related quantitative finance role.
  • Strong proficiency in programming languages (Python, C++, Java) and experience with data analysis libraries.
  • Deep understanding of financial markets, trading mechanisms, and statistical modeling techniques.
  • Demonstrated ability to develop, implement, and optimize trading algorithms.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Ability to work independently and manage tasks effectively in a fully remote environment.
  • Strong communication skills for effective remote collaboration.
Benefits
  • Highly competitive compensation package including a significant base salary and substantial performance-based bonuses.
  • Exceptional work-life balance due to the fully remote nature of the role.
  • Opportunity to work with a highly intelligent and driven team of professionals.
  • Access to state-of-the-art trading technology and infrastructure.
  • Potential for significant financial gains through performance-driven incentives.
  • Flexibility to work from any location with a reliable internet connection.
  • Continuous learning and development opportunities in a fast-paced industry.
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