HFT Quant Developer - ML Trading & Backtesting (Singapore)

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

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