Senior Quant Developer

Tasks

The role involves the following responsibilities:

• Development, expansion, and maintenance of Python data platforms using Pandas, NumPy, and internal libraries
• Development and improvement of portfolio analytics, risk reporting, and fund data platforms
• Contribute to the development and maintenance of data lakes for alternative data and infrastructure for portfolio managers and analysts
• Development and maintenance of FastAPI and Flask backends, as well as React/TypeScript frontends, using a shared component infrastructure
• Design and deployment of services for Kubernetes to manage Algos and scheduled data workflows
• Collaboration with engineers based in London and Sofia on cross-team initiatives

Requirements

The following requirements are necessary:

• 5+ years of professional experience in software engineering with a strong track record of delivering results
• Strong Python skills; test-driven development; modular, production-ready code; familiarity with DevOps tools: Kubernetes, Helm, ODP, design patterns
• Previous experience with Python, particularly in the areas of portfolio management, risk, or investment operations
• Knowledge of Pandas and NumPy; building efficient data pipelines and transformations at scale
• AI/LLM expertise; experience building or integrating LLM-based tools
• Familiarity with a Lean/Agile environment, including CI/CD, automated testing, and CI/CD pipelines
• Autonomy; no need to adhere to the technical design; you’ll reach the right people early on and escalate issues
• Strong communication skills; you can clearly explain technical decisions to non-technical stakeholders and effectively navigate and influence them
• Autonomy; you manage your own priorities; tackle large projects early on and work toward completion with a reasonable degree of autonomy
• CEng or ISTQB expert certification, or equivalent practical experience

We offer

A complete description of the services offered is not available.