Quantitative Developer

Aptitude Asia Limited; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading financial technology firm in Singapore seeks a talented Quantitative Developer to enhance trading strategies using Python and machine learning. You will develop algorithms, collaborate with researchers, and conduct performance analyses to optimize trading systems. Candidates should have strong programming skills, a degree in a relevant field, and experience with machine learning frameworks. Competitive compensation and dynamic team culture await.

Qualifications

• Strong programming skills in Python.
• Proven experience with machine learning frameworks.
• Solid understanding of quantitative finance concepts.

Responsibilities

• Develop and optimize quantitative trading algorithms.
• Collaborate with quantitative researchers on models and strategies.
• Implement machine learning techniques for data analysis.
• Conduct performance analysis and backtesting.
• Maintain and enhance existing trading systems.

Skills

Python programming

Machine learning

Data analysis

Statistical methods

Problem-solving

Education

Bachelors or Masters degree in Computer Science, Mathematics, Finance, or a related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Our client, a prominent high-frequency trading (HFT) firm, is seeking a talented Quantitative Developer to join their dynamic team in Singapore. 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.