ML-Driven Quantitative Developer (Low-Latency HFT)

Aptitude Asia Limited; Hong Kong; On-site; HKD 700,000 - 1,100,000; Full time

Job summary

Aptitude Asia Limited is seeking a Quantitative Developer in Hong Kong to join a premier HFT team. You will develop and optimize quantitative trading algorithms using Python, collaborating with researchers to translate complex models into robust production code.

You will apply machine learning to large data sets, backtest strategies, and contribute to high-availability, low-latency trading systems in a fast-paced environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, Finance, or a related field.
• Strong Python programming and data manipulation skills.
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Solid knowledge of quantitative finance concepts and trading strategies.
• Ability to analyze large datasets and apply statistics.
• Excellent problem-solving and collaborative mindset in a fast-paced environment.

Responsibilities

• Develop and optimize quantitative trading algorithms using Python.
• Collaborate with researchers to translate models into production-ready code.
• Implement machine learning techniques to analyze large datasets.
• Conduct performance analysis and backtesting of trading strategies.
• Maintain and enhance trading systems for high availability and low latency.

Skills

Python

Data analysis

Backtesting

ML frameworks

Quant finance

Team collaboration

Education

Bachelor's/Master's in CS/Math/Finance

Job description

Aptitude Asia Limited is seeking a Quantitative Developer in Hong Kong to join a premier HFT team. You will develop and optimize quantitative trading algorithms using Python, collaborating with researchers to translate complex models into robust production code.

You will apply machine learning to large data sets, backtest strategies, and contribute to high-availability, low-latency trading systems in a fast-paced environment.