Quant

We are a cutting-edge AI-powered trading technology firm that merges machine learning with quantitative finance to deliver next-generation trading solutions. Our team consists of elite researchers, engineers, and data scientists from top global institutions (Tsinghua, NUS, NTU, Peking University, HKUST, and more), alongside industry veterans from leading tech and finance firms.

We specialize in AI-driven trading strategies, providing institutional-grade solutions to major brokerages and financial organizations. Our mission is to revolutionize quantitative investing by integrating deep learning, large language models (LLMs), and high-performance trading infrastructure.

Your Role: AI & Quantitative Strategy Development

As a key member of our AI/ML research team, you will:

• Develop next-gen trading strategies using large language models (LLMs) and foundational AI techniques.

• Build and optimize AI-powered quantitative research pipelines—from data processing to strategy backtesting.

• Enhance trading performance by applying machine learning (ML), NLP, and deep learning to financial markets.

• Analyze strategy performance, identify inefficiencies, and implement AI-driven improvements.

• Collaborate with quant researchers & engineers to deploy scalable, low-latency trading solutions.

• Trading System Development & Optimization:
  Lead the design, development, and enhancement of trading system interfaces and infrastructure.
  Optimize system performance, focusing on low-latency execution, network programming, and database efficiency.
  Maintain and upgrade existing trading platforms to ensure reliability and scalability.

• Research & Data Pipeline Engineering:
  Build and manage robust data processing pipelines for strategy simulation and alpha generation.
  Develop tools for real-time data analysis, backtesting, and quantitative research.
  Implement high-performance computing solutions to maximize efficiency in large-scale financial data processing.

• Collaboration & Innovation:
  Work closely with quant researchers and traders to translate strategies into executable trading logic.
  Continuously explore and integrate emerging technologies to enhance trading infrastructure.