AI/ML Quant Trader

AI/ML Quant TraderFully Systematic Trading | Machine Learning DrivenWhat this role really is A 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 idea Markets 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 doing Researching signals Mining market and alternative datasets for predictive structure Applying ML techniques to forecasting, classification, and regime detection Building strategies Designing systematic trading strategies driven by model outputs Combining signals into portfolio-level decisions Running experiments Running large-scale backtests and robustness checks Stress-testing models across regimes and market conditions Operating live systems Deploying models into production Monitoring performance and refining strategies over time What your background might look like You likely have experience somewhere along the intersection of:machine learningsystematic tradingquantitative research You’ve probably:built models that actually tradedworked with financial time-series datawritten a lot of research and production code Programming (usually Python) and strong statistical intuition are essential. How success is measured Simple metrics:quality of signalsrobustness of strategieslive trading performance Why people take roles like this Full ownership of systematic strategies Ability to apply modern ML methods to markets Research that directly translates into capital allocation Opportunity to scale successful strategies In short: This role is for someone who enjoys designing and running AI-driven trading systems — not just researching them.