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Senior Quantitative Developer

Senior Quantitative Developer

HKDAG (SINGAPORE) PTE. LTD.D01 Cecil, Marina, People’s Park, Raffles Place, SG
20 days ago
Job description

Roles & Responsibilities

Key Responsibilities

  • Research, design, and implement quantitative trading and liquidity models that enhance execution quality and market performance.
  • Apply advanced statistical and machine learning techniques to extract short- to medium-term predictive signals from high-frequency and on-chain data.
  • Conduct rigorous backtesting, parameter optimization, and stress testing to validate strategy robustness.
  • Analyze market microstructure across multiple venues to identify patterns and inefficiencies in liquidity and pricing.
  • Build and maintain simulation frameworks and research infrastructure in Java, Python and C++ to support continuous model improvement.
  • Collaborate closely with developers and trading teams to deploy models and monitor live trading performance.
  • Continuously explore new data sources, DeFi protocols, and liquidity mechanisms to drive alpha generation.

Qualifications

  • Degree in a quantitative discipline such as Mathematics, Physics, Computer Science, Engineering, or Statistics (advanced degree preferred but not required).
  • 5+ years of experience in quantitative research, trading, or systematic strategy development within crypto, HFT, or traditional financial markets.
  • Strong programming skills in Java and Python; proficiency in C++ or Rust is a plus.
  • Deep understanding of market microstructure, statistical modeling, and time-series analysis.
  • Proven ability to work with large, noisy datasets and apply advanced data analysis techniques.
  • Strong problem-solving skills, creativity, and intellectual curiosity.
  • Entrepreneurial mindset — comfortable with autonomy, ambiguity, and rapid iteration.

    • Preferred

  • Hands-on experience in liquidity or execution strategy design (CeFi or DeFi).
  • Knowledge of exchange APIs, order types, and real-time data systems.
  • Experience in developing machine learning models and automated research pipelines.
  • Track record in competitive quantitative challenges (e.g., Kaggle, ICPC, math competitions).

    • Tell employers what skills you have

    Machine Learning

    Quantitative Research

    Statistical Modeling

    Data Analysis

    Strategy Development

    Pipelines

    Mathematics

    Python

    Statistics

    Stress Testing

    Java

    Pricing

    Research Design

    Rust

    C++

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    Quantitative Developer • D01 Cecil, Marina, People’s Park, Raffles Place, SG