Remote AI-Driven Quant Trading Strategy Engineer

Binance

Sydney

Remote

AUD 180,000 - 300,000

Full time

14 days+
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Benefits offered by this job

Work-from-home
Competitive salary
Global team
Autonomy

Job summary

Binance is hiring a Quantitative Trading Strategy Algorithm Engineer for a fully remote role with global teams. Your work will cover factor mining, model prediction, backtesting, and live deployment of trading strategies across traditional and on-chain assets.

Ideal candidates hold a Master’s or higher in a quantitative field, with deep Python expertise and ML/DL experience applied to large-scale time-series data. You’ll own end-to-end strategy loops in a fast-paced environment.

Qualifications

  • Master's degree or above in a quantitative field with strong programming.
  • Proven experience in quantitative trading strategy R&D and live deployment.
  • Proficient in Python and ML/DL for large-scale time-series data.

Responsibilities

  • Factor mining, validation and alpha signal discovery from multisource data.
  • Design, backtest, and validate trading strategies end-to-end.
  • Develop the quantitative pipeline from data to live execution.
  • Collaborate with engineering to ensure low-latency, robust deployment.
  • Explore cross-market AI trading across traditional and on-chain assets.
  • Assess P&L, risk, and alpha decay; optimize performance continuously.

Skills

Python
ML/DL
Quant research
Strategy backtesting
Risk management
Low-latency
Time-series data

Education

Master's degree or above

Tools

Trading systems

Job description

Binance is hiring a Quantitative Trading Strategy Algorithm Engineer for a fully remote role with global teams. Your work will cover factor mining, model prediction, backtesting, and live deployment of trading strategies across traditional and on-chain assets.

Ideal candidates hold a Master’s or higher in a quantitative field, with deep Python expertise and ML/DL experience applied to large-scale time-series data. You’ll own end-to-end strategy loops in a fast-paced environment.

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