Job Details

HFT Researcher in a proprietary hedge fund. The team is building a next-generation hedge fund with technology as a key advantage. Focus on modern systems, new hardware, and frontier AI. Develop and optimize short-term systematic trading models. Work with high-frequency data and build signals. Analyze high-frequency data and find patterns. Build models (statistics, time-series, signal processing, ML). Realistic backtesting considering commissions and exchange behavior. Interact with engineers to implement strategies. Monitor, post-analyze trades, and improve models. Develop internal tools and simulators.

The team is building a next-generation hedge fund where technology is a key advantage. Without legacy constraints, with a focus on modern systems, new hardware, and frontier AI. In conjunction with the internal AI Research Lab, a full cycle is being created: from idea to production trading. What you will do: Strategy research and development: - Development and optimization of short-term systematic trading models - Working with high-frequency data and building signals - Hypothesis testing and their translation into production-ready solutions - Model optimization considering risk, liquidity, and costs Data and modeling: - Analysis of high-frequency data and pattern recognition - Model building (statistics, time-series, signal processing, ML) - Realistic backtesting considering commissions and exchange behavior Production and collaboration: - Interaction with engineers for strategy implementation - Monitoring, post-trade analysis, and model improvement - Development of internal tools and simulators

1 year of experience in HFT / short-horizon strategies Understanding of market microstructure Strong foundation in probability, statistics, optimization Python + ML stack, ability to write fast and clean code

Excellent opportunity to work at the intersection of trading, mathematics, and AI — and actually influence PnL.