Rapidly implement and iterate on research ideas and model prototypes.
Clean, process, and join financial and fundamental datasets from professional and public sources.
Build and maintain processes for feature generation, back-testing, and model evaluation.
Run experiments, summarize results, and report findings to leadership.
Contribute to code quality: testing, documentation, and integration into shared systems.
Support the team in defining data schemas, APIs, and reproducibility standards.
Implement, test, and refine models, signals, and analytical workflows.
Maintain a consistent cadence of deliverables, focusing on iteration speed and reliability.

3+ years of professional experience building the model infrastructure, data pipelines, and analytical tools to drive trading strategies
Strong Python skills (pandas, numpy, scipy, matplotlib); comfort with SQL.
Skill working with Claude Code, Codex, or other coding agents.
Proficiency working with real-world financial datasets and building reproducible analyses or pipelines.
Understanding of statistics, regression, optimization, and ML fundamentals.
Clear communicator who can explain technical findings to non-specialists.
BS/MS/PhD in Computer Science, Mathematics, Statistics, Physics, Finance or related quantitative field.

Quantitative Developer

Key skills