Quantitative Developer: Production-Grade Trading Models

Poesis AI; San Francisco (CA); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Catered lunches

Commuter benefits

Job summary

Poesis AI is seeking a Quantitative Developer to drive the development of data pipelines and models for financial investment strategies. In this role, you will collaborate closely with leadership to innovate on trading strategies using large-scale financial datasets.

The ideal candidate will have strong Python skills and at least 3 years of experience in this field. The position offers a hybrid work model with attractive compensation, including a relocation allowance for candidates willing to relocate.

Qualifications

• 3+ years of professional experience in building model infrastructure and data pipelines.
• Proficient in Python and SQL.
• Experience with real-world financial datasets.

Responsibilities

• Build data pipelines and implement models for financial analysis.
• Clean and process financial datasets.
• Contribute to code quality and documentation.

Skills

Python

SQL

Statistical Analysis

Machine Learning

Data Pipeline Development

Education

BS/MS/PhD in Computer Science, Mathematics, Statistics, or Finance

Tools

Git

Docker

Job description

Poesis AI is seeking a Quantitative Developer to drive the development of data pipelines and models for financial investment strategies. In this role, you will collaborate closely with leadership to innovate on trading strategies using large-scale financial datasets.

The ideal candidate will have strong Python skills and at least 3 years of experience in this field. The position offers a hybrid work model with attractive compensation, including a relocation allowance for candidates willing to relocate.