Python / Full-Stack Developer

Role OverviewJoin 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 ResponsibilitiesPython 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 Qualifications3+ 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 QualificationsExperience 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 GuidanceFocus 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.