Member of Technical Staff | Quantitative Finance

Poesis Inc.; Menlo Park (CA); Ibrido; USD 180.000 - 270.000; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation allowance

Catered lunches

Commuter benefits

Relocation allowance

Descrizione del lavoro

Poesis Inc. seeks a Member of Technical Staff (Quantitative Finance) to advance the quantitative systems behind our investment process in a hybrid setup at Menlo Park, CA. You will prepare large financial datasets, design and implement robust models and agents, and build testing tools for evaluation.

Join a team close to the research and production pipeline, informing investment decisions. You’ll work with senior researchers and engineers to move ideas from experiments to production, applying

Competenze

• BS/MS/PhD in CS, Math, Statistics, Physics, Finance, or related quantitative field.
• Experience building data pipelines and infrastructure for financial models.
• Strong in statistical reasoning and modeling approaches.
• Ability to communicate findings to leadership and mixed audiences.
• Willingness to work in a hybrid setup in the US.

Mansioni

• Prepare large financial datasets for modeling and testing.
• Design and implement quantitative models and autonomous agents.
• Build testing and evaluation tools for model validation.
• Move research ideas from experimentation to production systems.
• Explain technical results to leadership and cross-functional teams.

Conoscenze

Data pipelines

Financial models

Trading strategies

Analytical tools

Statistical modeling

Formazione

BS/MS/PhD in quantitative field

Strumenti

Bloomberg

CapIQ

FactSet

Refinitiv

Descrizione del lavoro

About Poesis

Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native investment firm running autonomous agents that predict markets, construct portfolios, and manage risk. Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at Goldman Sachs and Amazon. We're building a new type of firm, where live capital is the training ground for an intelligence that compounds with every signal.

About the Role

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.

Challenges You'll Work On

• 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.

About You

• 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.

Nice to Have

• 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.

Location

Hybrid, 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available.

Benefits

We offer excellent medical, dental, and vision coverage, alongside a strong benefits package that includes catered lunches, commuter benefits, and more. Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees.

Working at Poesis

As an early team member, you’ll help shape not just the product, but how the company operates. Your decisions will have lasting impact across the business. You’ll build from first principles, with no legacy systems, or entrenched processes slowing you down. Our team is made up of people from elite companies and universities who are low ego, collaborative, and excited to build together.