AI/ML Quant Trader

AI/ML Quant TraderFully Systematic Trading | Machine Learning DrivenWhat this role really isA trader who builds machines that trade.Not discretionary trading enhanced by models — but fully systematic strategies where AI and ML drive the decision process, from signal generation to portfolio construction.You design the system, test it, deploy it, and improve it.The core ideaMarkets are noisy, adaptive systems.Machine learning can help uncover patterns — if applied carefully.Your job is to turn data → models → strategies → live trading systems.What you’ll actually be doingResearching signalsMining market and alternative datasets for predictive structureApplying ML techniques to forecasting, classification, and regime detectionBuilding strategiesDesigning systematic trading strategies driven by model outputsCombining signals into portfolio-level decisionsRunning experimentsRunning large-scale backtests and robustness checksStress-testing models across regimes and market conditionsOperating live systemsDeploying models into productionMonitoring performance and refining strategies over timeWhat your background might look likeYou likely have experience somewhere along the intersection of:machine learningsystematic tradingquantitative researchYou’ve probably:built models that actually tradedworked with financial time-series datawritten a lot of research and production codeProgramming (usually Python) and strong statistical intuition are essential.How success is measuredSimple metrics:quality of signalsrobustness of strategieslive trading performanceWhy people take roles like thisFull ownership of systematic strategiesAbility to apply modern ML methods to marketsResearch that directly translates into capital allocationOpportunity to scale successful strategiesIn short:This role is for someone who enjoys designing and running AI-driven trading systems — not just researching them.