Quantitative Developer

Aptitude Asia Limited; Singapore; On-site; SGD 140,000 - 230,000; Full time

Job summary

Aptitude Asia Limited in Singapore is seeking a Quantitative Developer to join its high-frequency trading team. You will design and implement trading algorithms, leverage machine learning, and work closely with researchers and traders to enhance performance.

The role focuses on Python development, backtesting, and optimizing systems for low latency and reliability. Candidates should have strong math, statistics, and finance knowledge, plus the ability to translate complex models into

Qualifications

• Bachelor's or Master's in CS, Math, Finance or related field.
• Strong Python programming and data manipulation skills.
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of quantitative finance concepts and trading strategies.
• Ability to analyze large datasets using statistical methods.

Responsibilities

• Develop and optimize quantitative trading algorithms with Python for efficiency and scalability.
• Collaborate with researchers to translate models into production-ready code.
• Apply ML techniques to large datasets to identify patterns and improve decisions.
• Conduct backtesting and performance analysis of trading strategies.
• Maintain high-availability, low-latency trading systems.

Skills

Python

Data manipulation

Algorithm development

Machine learning

TensorFlow

PyTorch

scikit-learn

Quantitative finance

Statistics

Problem solving

Collaborative mindset

Education

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

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.