Quantitative Developer
Poesis•San Francisco, CA
•$180,000 - $280,000•Hybrid
About The Position
We’re hiring a Quantitative Developer to help turn research ideas into production-grade code. You’ll help build data pipelines, implement models, and ensure results are clean, reproducible, and explainable. You will work alongside Poesis’ Chief Scientist, CEO, and engineering leadership to translate ideas and specifications into tested, production-ready code.
Requirements
- 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.
- Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees.
Nice To Haves
- Prior full-time experience in finance, data science, or ML engineering.
- Familiarity with APIs from Bloomberg, CapIQ, FactSet, or Refinitiv.
- Exposure to portfolio optimization, risk modeling, or financial time-series.
- Skill with git, Docker, and modern orchestration tools (Prefect, Airflow, etc.).
- Early-stage startup experience or demonstrated builder mindset.
Responsibilities
- 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.
Benefits
- Excellent medical, dental, and vision coverage
- Strong benefits package
- Catered lunches in our Menlo Park office
- Commuter benefits
- Relocation allowance available
- Continuing work visa sponsorship available for full-time employees
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
