Member of Technical Staff | Quantitative Finance

Poesis • Menlo Park, CA

17h • $180,000 - $280,000 • Hybrid

About The Position

We’re looking for an exceptional Member of Technical Staff (Quantitative Finance) to work alongside our CEO, Chief Scientist, and AI and engineering teams on the quantitative systems behind our investment process. You’ll prepare large financial datasets, design and implement models and agents, and build tools for testing and evaluation. This is an opportunity to work close to the research itself, moving new ideas from experiment to production, and seeing your work inform investment decisions.

Requirements

• You’ve built infrastructure, data pipelines, or analytical tools for developing and evaluating financial models or trading strategies.
• You enjoy working with complex linguistic and numerical data and producing rigorous, reproducible analysis.
• You have strong quantitative foundations and can reason clearly about statistical and modeling problems.
• You balance iteration speed with engineering quality and know when a prototype needs to be made more robust.
• You can explain technical findings and experimental results to leadership and technical and nontechnical audiences.
• You have a BS, MS, or PhD in Computer Science, Mathematics, Statistics, Physics, Finance, or a related quantitative field.
• Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees.

Nice To Haves

• Full-time experience in finance, data science, or machine learning engineering.
• Experience integrating professional financial data from Bloomberg, CapIQ, FactSet, or Refinitiv into quantitative research workflows.
• Familiarity with portfolio optimization, risk modeling, or financial time series.

Responsibilities

• Turn financial research and model prototypes into robust production systems.
• Make complex financial data reliable enough for rigorous modeling and investment research.
• Build scalable, reproducible systems for feature generation, backtesting and model evaluation.
• Stress-test models and signals to understand what holds up and what breaks down.
• Help solve the engineering challenges of moving research quickly from experiment to production.

Benefits

• excellent medical, dental, and vision coverage
• strong benefits package
• catered lunches
• commuter benefits
• Relocation allowance available
• continuing work visa sponsorship available for full-time employees

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level