AI/ML Engineer

Responsibilities

• Alpha Generation
• Design and refine predictive ML models trained on intraday financial data and alternative datasets to surface trade signals.
• Data Infrastructure & Experimentation: Work with large-scale time series, macroeconomic, and unstructured datasets.
• Build pipelines, clean data, and rapidly iterate on hypotheses.
• Agentic Systems Development: Help architect and implement systems using LLMs to automate alpha research, backtesting, and live trading tasks.
• Portfolio Optimization
• Contribute to the design of intelligent portfolio construction methods that integrate learned signals and risk constraints.
• Research Ops
• Develop internal experimentation frameworks in Python/Jupyter and build reproducible research workflows across the team.
• Collaboration: Work closely with quant researchers, founders, and systems engineers to scale model impact from prototype to production.

Languages