Quantitative Researcher - HCM

XNO is a quantitative AI technology company building institutional-grade financial infrastructure for professional investors across Vietnam and Southeast Asia. We operate at the intersection of systematic trading, AI, and financial data — serving fund managers, trading desks, and wealth professionals with tools they actually depend on for live decisions.

Mission: Create alphas that generate real, consistent PnL.

Responsibilities

• Research alpha signals from price, volume, sentiment, and alternative datasets

• Build systematic models using statistics, machine learning, or reinforcement learning

• Backtest rigorously and optimize for Sharpe, drawdown, and stability

• Collaborate with engineering to deploy strategies into live trading environments

Requirements

• Strong background in statistics, probability, optimization, or ML

• Excellent Python skills (NumPy, Pandas, Scikit-learn, PyTorch)

• Proven research results (projects, papers, competitions, alpha portfolios)

• Highly analytical, experimental, and performance-driven