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Remote Senior Quantitative Analyst

Remote / Online - Candidates ideally in
Gqeberha, Port Elizabeth, 6000, South Africa
Listing for: Placements24
Remote/Work from Home position
Listed on 2026-09-07
Job specializations:
  • Finance & Banking
    Data Scientist
Job Description & How to Apply Below
Location: Gqeberha

About the Role

Our client is seeking an exceptional Remote Senior Quantitative Analyst to join their innovative fintech team, operating entirely online with a focus on the Eastern Cape market. This role requires advanced mathematical and statistical expertise to develop and implement sophisticated trading algorithms, risk models, and data-driven strategies. You will collaborate with a globally distributed team of traders, developers, and data scientists to enhance trading performance and manage complex financial instruments.

The ideal candidate thrives in a remote setting, possesses strong analytical and programming skills, and is passionate about leveraging data to drive financial insights and innovation. This position offers unparalleled flexibility and the chance to make a significant impact from anywhere.

Key Responsibilities
  • Design, develop, and backtest quantitative trading strategies using statistical and machine learning techniques.
  • Build and maintain sophisticated risk management models for various asset classes.
  • Analyze large datasets to identify trading opportunities and market inefficiencies.
  • Implement and optimize trading algorithms in a live production environment.
  • Collaborate remotely with portfolio managers, developers, and other quantitative researchers.
  • Conduct deep-dive research into market microstructure and behavioral finance.
Requirements
  • Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
  • 5+ years of experience in quantitative analysis, algorithmic trading, or risk management in the finance industry.
  • Proficiency in programming languages such as Python, R, C++, or Java.
  • Strong understanding of statistical modeling, time series analysis, and machine learning algorithms.
  • Experience with large-scale data analysis and database technologies.
  • Excellent problem-solving skills and the ability to work autonomously in a remote setup.
Benefits
  • Highly competitive salary and performance-based profit-sharing.
  • Fully remote work arrangement with flexible hours.
  • Generous budget for professional development, conferences, and home office setup.
  • Comprehensive health and wellness benefits package.
  • Opportunity to work with cutting-edge technology and a world-class remote team.
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Position Requirements
10+ Years work experience
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