Senior Quantitative Developer
6 days ago
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).
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