Job Overview
Invisible Agency is seeking a Securities & Commodities Specialist – AI Trainer to bridge finance expertise with machine learning. This role focuses on developing and operationalizing AI-driven models for securities and commodities analysis, forecasting, and risk assessment. You will collaborate with trading, data science, and product teams to build training data, feature pipelines, and model evaluation strategies.
Responsibilities
- Design, implement, and maintain AI training pipelines for securities forecasting and analysis
- Curate, clean, and engineer features from financial datasets; ensure data quality and provenance
- Collaborate with quantitative researchers and traders to translate domain knowledge into ML features and models
- Train, validate, and monitor ML models; establish performance metrics and drift detection
- Create training materials, documentation, and internal tooling to support model adoption
- Support risk management, compliance, and governance in AI-driven decision processes
- Communicate complex technical concepts to non-technical stakeholders
Requirements
- Bachelor’s or higher in Finance, Mathematics, Statistics, Computer Science, or a related field
- Hands-on experience with machine learning in finance, preferably securities or commodities domains
- Proficiency in Python and SQL; experience with ML libraries (scikit-learn, TensorFlow, PyTorch)
- Strong data storytelling, analytical thinking, and problem-solving skills
- Understanding of time-series data, backtesting, and risk management concepts
- Excellent communication and collaboration skills; able to work remotely
About Invisible Agency
Invisible Agency is a forward-thinking firm dedicated to leveraging data and AI to unlock insights in finance and markets. This role offers a flexible remote environment and opportunities to shape AI-driven investment research.