3 months ago
San Francisco, CA, USAMid Level
Base Salary
$180k - $280k/yr
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 feature-generation, back-testing, and model-evaluation processes.
- Run experiments, summarize results, and report findings to leadership.
- Implement, test, and refine models, signals, and analytical workflows.
- Contribute to testing, documentation, code quality, and integration into shared systems.
- Help define data schemas, APIs, and reproducibility standards.
- Maintain a consistent cadence of deliverables focused on iteration speed and reliability.
Requirements
- Strong Python skills, including pandas, numpy, scipy, and matplotlib, with comfort using SQL.
- Experience working with real-world financial datasets and building reproducible analyses or pipelines.
- Understanding of statistics, regression, optimization, and machine learning fundamentals.
- Experience using Claude Code, Codex, or other coding agents.
- Bachelor’s, master’s, or doctoral degree in computer science, mathematics, statistics, physics, finance, or a related quantitative field.
- Clear communication skills and the ability to explain technical findings to non-specialists.
- Prior full-time experience in finance, data science, or ML engineering is preferred.
- Familiarity with Bloomberg, CapIQ, FactSet, or Refinitiv APIs is preferred.
- Exposure to portfolio optimization, risk modeling, or financial time-series is preferred.
- Experience with Git, Docker, and orchestration tools such as Prefect or Airflow is preferred.
- Early-stage startup experience or a demonstrated builder mindset is preferred.
- Current legal authorization to work in the United States is required.
Benefits
- Hybrid schedule with 3 days per week on-site at the Menlo Park, California office.
- Relocation allowance is available.
- Medical, dental, and vision coverage.
- Catered lunches at the Menlo Park office.
- Commuter benefits.
- Continuing work visa sponsorship is available for full-time employees.
Categories
Data EngineeringML Engineering
About Poesis
Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native asset manager running autonomous agents that predict markets, construct portfolios, and manage risk. Live capital is the training ground for an intelligence that compounds with every signal.