Quant Researcher - Distinguished Founders - Ground Floor

About the role

Build and maintain an end-to-end production-ready research pipeline that turns raw data into reproducible signals and documented models. Rigorously validate trading hypotheses, assess their limits across market regimes, and coordinate signal, risk, and execution handoffs with engineering and trading teams. The role calls for a quantitative researcher able to generate and validate systematic trading ideas using reliable Python pipelines and real-world data. Strong attention to leakage, overfitting, bias, out-of-sample performance, and production handoffs is important; microstructure or execution-aware modeling experience is an advantage.