About the RoleWe'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'll work alongside Poesis' Chief Scientist, CEO and engineering leadership to turn large-scale data and quantitative research into models, signals and tools that drive investment decision-making.
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.
Required Competencies- 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.
Preferred Competencies- 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.
LocationHybrid: 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available.
BenefitsWe offer excellent medical, dental, and vision coverage, alongside a strong benefits package that includes catered lunches in our Menlo Park office, commuter benefits, and more.
Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees.
