A trading firm seeks a Quant Researcher & Trader to develop and optimize systematic trading strategies across exchange-traded markets, extracting predictive signals from market data and contributing to production-grade algorithmic trading systems in a low-latency environment.
Requirements
- MSc or PhD in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or related quantitative discipline
- 5–8+ years experience in quantitative research or systematic trading environments
- Strong programming skills in Python
- Working knowledge of C++ preferred
- Strong foundation in probability, statistics, optimization, and time-series modeling
- Experience working with market data at scale