Senior Python Quant Developer - Commodities Trading

Pinpoint Asia Limited · 📍 Bali, Indonesia (Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, Badung) · Diposting 2026-10-09
FULL_TIME⭐ TERVERIFIKASI
USD 200000 - 200000

Pinpoint Asia Limited is seeking a highly skilled Senior Python Quant Developer to join our dynamic commodities trading team. Based in Bali, this is a remote position that offers a unique opportunity to work in a vibrant and diverse environment.

In this role, you will be responsible for developing and implementing quantitative models and strategies for commodities trading. You will work closely with our trading team to ensure that our models are robust, efficient, and aligned with market conditions.

This is an exciting opportunity for a Python developer with a strong background in quantitative finance to join a growing and innovative company.

📋 Tanggung Jawab Pekerjaan

Tanggung Jawab:

  • Develop and maintain quantitative models and strategies for commodities trading.
  • Implement and optimize trading algorithms using Python.
  • Conduct backtesting and risk analysis to validate trading strategies.
  • Monitor and analyze market data to identify trading opportunities.
  • Collaborate with the trading team to ensure that models are aligned with market conditions.
  • Stay up-to-date with the latest developments in quantitative finance and trading technologies.
  • Provide technical support and guidance to junior team members.
  • Ensure that all trading models and systems comply with regulatory requirements.

    • 🎓 Kualifikasi & Syarat

    Kualifikasi:

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of experience in Python development, with a strong background in quantitative finance.
  • Proven experience in developing and implementing trading algorithms and models.
  • Strong understanding of statistical and mathematical concepts, including probability, linear algebra, and calculus.
  • Familiarity with financial markets, commodities trading, and risk management.
  • Experience with data analysis and visualization tools, such as Pandas, NumPy, and Matplotlib.
  • Knowledge of machine learning and artificial intelligence concepts and techniques.
  • Strong problem-solving and analytical skills, with the ability to work independently and as part of a team.

    • 🛠️ Keahlian

    PythonQuantitative FinanceTrading AlgorithmsData AnalysisMachine LearningArtificial IntelligenceStatistical AnalysisRisk ManagementFinancial MarketsCommodities Trading
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