What to do: Serve as the link between ML research output and the trading team: monitor, understand, and translate ML model outputs into trading-relevant signals and features, combine ML-derived features with existing trading strategies to improve performance and generate alpha across markets (CME, Japan, China), evaluate feature sets, run experiments, and assess the practical impact of ML signals on strategy PnL.

About the company: The name is hidden under an NDA. A proven Fintech company with a global footprint, a cutting-edge tech stack, and a successful decade-long track record in trading is developing its own platform for trading using thousands of instruments across dozens of markets. The recruiter will disclose all details personally immediately after you apply.