Python / Full-Stack Developer

Phaxis; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Phaxis is seeking a Python / Full-Stack Developer for its Equity Derivatives Technology team in New York. The role focuses on engineering software across the stack, including Web UI, Python services, and databases, with collaboration across data experts.

Responsibilities include building Python applications, creating UI components, integrating APIs, and supporting CI/CD practices while ensuring high-quality, reliable systems for quant, investment platforms.

Qualifications

• 3+ years of software development with Python
• Experience building and supporting Python apps and web UI components
• Strong API and system integration skills, SQL, data processing

Responsibilities

• Python application engineering: develop and maintain Python apps, refactor legacy code, participate in design reviews and testing
• Web UI and full-stack development: create and maintain web UI components, integrate with backend services, enhance Python-based web apps with frameworks like Flask/Streamlit
• System and data integration: design integration components, build and consume APIs, work with market data platforms
• Database, data processing, and scheduling: develop data-access components, support batch processing, troubleshoot data issues
• Production support and engineering quality: support production apps, improve monitoring and testing, contribute to CI/CD processes

Skills

Python

Web UI

API integration

SQL

CI/CD

Git

Testing

Communication

Tools

Flask

Streamlit

Job description

Join our Equity Derivatives Technology team as a Python / Full-Stack Developer. You'll enhance Stark, our internal platform for Quantitative Investment Strategies, by designing and supporting application components across various layers including Web UI, Python services, and databases. This role focuses on software engineering rather than quantitative modeling, but requires collaboration with financial data experts.

Key Responsibilities

Role Overview

Join our Equity Derivatives Technology team as a Python / Full-Stack Developer. You'll enhance Stark, our internal platform for Quantitative Investment Strategies, by designing and supporting application components across various layers including Web UI, Python services, and databases. This role focuses on software engineering rather than quantitative modeling, but requires collaboration with financial data experts.

Key Responsibilities

• Python Application Engineering: Develop and maintain Python applications, refactor legacy code, and engage in design reviews and testing.
• Web UI and Full-Stack Development: Create and maintain Web UI components, integrate them with backend services, and enhance Python-based web applications using frameworks like Streamlit and Flask.
• System and Data Integration: Design integration components, build and consume APIs, and work with market data platforms.
• Database, Data Processing, and Scheduling: Develop data-access components, support batch processing, and troubleshoot data issues.
• Production Support and Engineering Quality: Support production applications, improve monitoring and testing, and contribute to CI/CD processes.

Required Qualifications

• 3+ years of software development experience with a focus on Python.
• Experience in building and supporting Python applications and web UI components.
• Strong skills in API and system integration, SQL, and data processing.
• Proficient in automated testing, Git, and CI/CD practices.
• Excellent communication skills for collaboration with various teams.

Preferred Qualifications

• Experience with Python web frameworks and modern front-end technologies.
• Familiarity with time-series data platforms and market-data system integration.
• Knowledge of enterprise scheduling tools and messaging technologies.
• Background in financial services or capital-markets technology.

Recruiter Screening Guidance

• Focus on candidates with recent Python coding experience.
• Verify experience in building production integrations and user-facing Web UI functionality.
• Seek candidates with a strong engineering background rather than quantitative modeling skills.