Quantitative Finance Systems Engineer

Poesis Inc.; Menlo Park (CA); Hybride; USD 180 000 - 270 000; Plein temps

Avantages offerts par ce poste

Relocation allowance

Catered lunches

Commuter benefits

Relocation allowance

Résumé du poste

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

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Data pipelines

Financial models

Trading strategies

Analytical tools

Statistical modeling

Formation

BS/MS/PhD in quantitative field

Outils

Bloomberg

CapIQ

FactSet

Refinitiv

Description du poste

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