Quantitative Developer – Execution
On-siteSingapore, Singapore
Job Summary
Implement full-lifecycle quantitative strategy implementation, including research, code optimization, deployment, order execution, policy compliance, and risk control. Design and develop tailored strategy research tools on the in-house backtesting platform while collaborating with researchers. Take ownership of live trading process development and maintenance to continuously improve production quality and reliability. Partner with engineering to shape core components of distributed systems, data platforms, and trading infrastructure. Translate mathematical models and signals into high-performance, low-latency code across global equity and futures markets.
Required Qualifications
- Proficient in Linux environments
- Production-level experience in C++ (modern standards) for low-latency components
- Python for data analysis, rapid prototyping, and framework development
- Solid understanding of equity and futures markets
- Understanding of market microstructure
- Understanding of order book dynamics
- Understanding of electronic execution logic
- Experience contributing to or designing complex frameworks (e.g., backtesters, data pipelines, simulation environments, or analytics engines)
- Comfortable with statistics
- Comfortable with data analysis
- Ability to evaluate the mathematical logic behind execution signals and performance metrics
- Exceptional ability to translate concepts between highly academic researchers, strict system engineers, and fast-paced production traders
Desired Qualifications
- Outstanding performance in competitive programming contests such as NOI or ICPC
- Experience with distributed systems, high-performance computing (HPC), or handling large-scale tick data
- Familiarity with connectivity protocols (e.g., FIX, native exchange APIs)
- Publications in top-tier CS or Statistics journals/conferences
- Award-winning participant in Kaggle machine learning competitions
- Internship or work experience in proprietary trading firms, hedge funds, or leading tech companies
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