Principal Machine Learning Engineer

PLUANG TECHNOLOGIES PTE. LTD.

Singapore
Not specified (potentially hybrid or fully onsite based on the context of the role).
3-5 years production quantitative systems experience
Expert-level python with numpy pandas scipy asyncio numba
Real-time market data streaming websocket kafka
PLUANG TECHNOLOGIES PTE. LTD. is seeking a Principal Machine Learning Engineer to lead the development and deployment of algorithmic trading systems. The ideal candidate will have 3-5 years of experience in quantitative systems, strong programming skills in Python, and a solid understanding of financial markets and risk management

Job Summary

  • You will own end-to-end delivery of trading systems from design and backtest through to live deployment across multiple asset classes.
  • The role requires applying ML and AI agent techniques for signal generation, anomaly detection, and autonomous strategy workflows to create measurable edge.
  • In your first 90 days, you are expected to own at least one live system improvement deployed to production such as a latency reduction or new hedging signal.

Matching Summary

Match Score: 85

PLUANG TECHNOLOGIES PTE. LTD. is seeking a Principal Machine Learning Engineer to lead the development and deployment of algorithmic trading systems. The ideal candidate will have 3-5 years of experience in quantitative systems, strong programming skills in Python, and a solid understanding of financial markets and risk management.

Skills & Requirements

Must-have

  • 3-5 years production quantitative systems experience
  • Expert-level Python with numpy pandas scipy asyncio numba
  • Real-time market data streaming WebSocket Kafka
  • Trading mechanics order types market microstructure
  • Pricing models hedging algorithms portfolio optimization
  • AI agent techniques signal generation anomaly detection

Nice-to-have

  • Understanding derivatives options futures perpetuals margin trading
  • Experience with ML frameworks scikit-learn XGBoost
  • Knowledge of brokerage operations cryptocurrency arbitrage
  • Market-making liquidity provision systematic trading strategies
  • Contributions to quantitative finance open-source projects

Key Requirements

  • Bachelor's or Master's degree in Computer Science Financial Engineering Mathematics Physics Statistics
  • 3-5 years professional experience owning quantitative systems in production
  • Deep command of performance-tuning production-grade numerical code

Work Rights

Not specified

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