Quantitative Researcher: Generative Market Microstructure

Rooster Quant, a Boulder-based proprietary trading firm, seeks a mathematically strong researcher to advance probabilistic forecasting of market dynamics. The role involves developing generative models using high-frequency market data, with an emphasis on stochastic analysis and implementation in Python. Ideal candidates possess a strong mathematical maturity and enjoy applying complex concepts in practical settings. Candidates from physics, applied mathematics, statistics, computer science, or quantitative finance are welcome. To apply, send your resume to tw@nickel5.com.
#J-18808-Ljbffr