Python Full-Stack Developer

Stark Platform | Equity Derivatives / Quantitative Investment Strategies

ROLE AT A GLANCE

• Hands-on engineering role covering Python backend development, Web UI components, APIs, data integration, databases, testing, deployment, and production support. This is not a quantitative modeling or pricing role.
• Role Overview
• We are seeking an experienced Python / Full-Stack Developer to join the Equity Derivatives Technology team and support the development and enhancement of Stark, an internal platform supporting the Quantitative Investment Strategies (QIS) business. The successful candidate will design, build, enhance, and support application components across the Web UI, Python service, data-processing, database, and external-integration layers.
• The role is focused on software engineering around established business and quantitative logic. The developer will not be responsible for creating pricing models, performing quantitative research, or defining core QIS calculation methodologies. The developer must nevertheless be comfortable working with financial and market data and collaborating with Quants, business users, and technology teams.

Key Responsibilities

• Python Application Engineering
• Design, develop, enhance, and maintain production-quality Python applications and services.
• Create modular, reusable, testable components and improve the structure of an established codebase.
• Refactor and modernize legacy scripts and applications to improve maintainability, scalability, performance, and operational resilience.
• Participate in technical design, code reviews, automated testing, release activities, and production troubleshooting.
• Web UI and Full-Stack Development
• Design, build, and maintain Web UI components used by front-office, business, and technology users.
• Develop interactive workflows for data visualization, process initiation, operational monitoring, exception management, and user-driven actions.
• Integrate Web UI components with Python backend services, APIs, databases, and application workflows.
• Enhance Python-based web applications using frameworks such as Streamlit, Quart, FastAPI, or Flask, as applicable.
• Apply sound UI engineering practices for usability, validation, security, maintainability, and responsive performance.
• System and Data Integration
• Design and develop integration components that retrieve source data from internal applications and third-party providers.
• Build and consume REST APIs, GraphQL APIs, database interfaces, file-based feeds, and messaging or event-driven interfaces.
• Implement data validation, normalization, transformation, reconciliation, caching, retry, timeout, idempotency, and error-handling controls.
• Integrate with market and reference data platforms such as Bloomberg, and enterprise systems such as Murex, where applicable.
• Work with upstream and downstream owners to define interface contracts, diagnose data-quality issues, and manage integration changes.
• Database, Data Processing, and Scheduling
• Develop efficient data-access and transformation components using SQL, Python, Pandas, and appropriate database libraries.
• Work with relational and time-series data platforms such as PostgreSQL, SQL Server, QuestDB, or equivalent technologies.
• Support batch and scheduled processing, including dependency management, restartability, auditability, and operational controls.
• Diagnose failed jobs, stale or missing data, reconciliation breaks, and upstream/downstream processing issues.
• Production Support and Engineering Quality
• Provide development support for business-critical production applications.
• Improve logging, monitoring, observability, exception handling, alerting, performance, and resiliency.
• Build unit, integration, API, UI, and regression tests and support reliable automated deployments.
• Contribute to Git-based development, CI/CD, release management, configuration management, and environment promotion processes.
• Produce clear technical documentation, runbooks, interface specifications, and support procedures.

Required Qualifications

• Approximately 3+ years of professional software development experience, with substantial recent hands-on Python de