Top Tech Jobs & Startup Jobs

Senior, hands-on quant researcher owning end-to-end research from hypothesis, dataset construction, feature engineering, model training, backtesting, and live deployment. Collaborate with traders and engineers, monitor and iterate production models, mentor junior researchers, and shape research and trading infrastructure.

Senior, hands-on researcher owning end-to-end model lifecycle for crypto derivatives and spot markets: dataset construction, feature engineering, ML model training, backtesting, production deployment, monitoring, and iteration. Collaborate with traders and engineers, set research direction, mentor junior researchers, and ensure production-grade code and rigorous validation.

Develop, backtest, deploy, and monitor ML-driven trading models and signals for crypto spot and derivatives markets; collaborate with traders and engineers to move research ideas into production.

Conduct end-to-end quantitative research for crypto derivatives and spot markets: build datasets, engineer features, train and backtest ML models, deploy and monitor production models, and collaborate with traders and engineers to convert research into trading strategies.

Manage Delta1 positions across venues, read live market flow, tune and intervene in automated trading systems, improve execution via data analysis, and design trading tools while collaborating with researchers and engineers.

Maintain and evolve position, trade, and PnL systems; build high-throughput real-time services and data pipelines; integrate exchanges and prime brokers; model instruments, implement self-healing discrepancy detection, develop hedging infrastructure, and deliver reporting for traders, risk, and compliance.

Own and evolve core trading systems ensuring correctness of positions, PnL, instruments, and real-time data flows. Architect low-latency, high-throughput services, lead exchange integrations, build self-healing detection/repair flows, design hedging infrastructure, deliver reporting, and mentor engineers while setting technical standards.

Own and maintain position, trade, and PnL systems; build hedging, Greeks, margin and early-exercise models; produce risk views and regulatory/internal reports; support traders; debug and resolve live production discrepancies.

Build and own production infrastructure that turns research models into live trading systems: data pipelines, backtesting, deployment, monitoring. Convert research prototypes to robust, performant production code, collaborate with researchers and traders, maintain reliability and low latency, and improve tooling and standards across the trading floor.