Description
The role develops and productionizes proprietary machine-learning models and AI agents for financial markets, covering forecasting, event-risk assessment, sentiment analysis, market classification, LLM/RAG and tool-calling agents, model evaluation, backtesting, governance, and release gates. It also integrates quant signals and trusted data sources, benchmarks model providers, collaborates with cross-functional teams, and provides technical leadership and mentorship. The position requires strong Python, machine-learning, financial-market, forecasting, and AI/agent expertise, along with regulatory and governance knowledge.
