Quantitative Developer

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

Our client, a prominent high-frequency trading (HFT) firm, is seeking a talented Quantitative Developer to join their dynamic team in Hong Kong. This role involves leveraging strong programming skills and machine learning expertise to develop and enhance trading strategies. You will work closely with quantitative researchers and traders to implement innovative solutions that drive our trading performance.

Key Responsibilities:

• Develop and optimize quantitative trading algorithms using Python, focusing on efficiency and scalability.
• Collaborate with quantitative researchers to translate complex models and strategies into robust, production-ready code.
• Implement machine learning techniques to analyze large datasets, identify patterns, and improve decision-making processes.
• Conduct performance analysis and backtesting of trading strategies to ensure reliability and effectiveness.
• Maintain and enhance existing trading systems, ensuring high availability and low latency.

Qualifications:

• Bachelors or Masters degree in Computer Science, Mathematics, Finance, or a related field.
• Strong programming skills in Python, with experience in data manipulation and algorithm development.
• Proven experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of quantitative finance concepts and trading strategies.
• Ability to analyze large datasets and apply statistical methods to derive insights.
• Excellent problem-solving skills and a collaborative mindset, with the ability to work in a fast-paced environment.