PpThe Investments Data Science team is part of the Generali Asset Management Investment Function. The team develops and coordinates projects and initiatives that leverage data science techniques to enhance investment strategies. /p pThe candidate will play a key role in evolving an internal platform dedicated to portfolio analysis and asset allocation optimization. Currently in its beta phase, the platform is being tested by a select group of users, offering you the unique opportunity to contribute to a tool that directly impacts investment strategies. /p h3Main Tasks Responsibilities /h3 ul liPartner with beta users to identify bugs, improve existing features, and enhance the overall user experience. /li liAlign with stakeholders to plan, develop, and deploy new functionalities. /li liDesign and implement modules for the automatic generation of financial reports. /li liContribute to the integration of AI-based features (LLMs, Agentic frameworks) to provide intelligent guidance to users. /li liMaintain and expand the unit-testing suite to ensure platform reliability. /li /ul h3Requirements /h3 ul liBachelor’s or Master’s Degree in Computer Engineering or Computer Science. /li liStrong knowledge of Python. Familiarity with full‑stack development principles is highly regarded. /li liFamiliarity with Docker, CI/CD concepts (e.g., GitLab CI), and basic exposure to cloud environments such as AWS or Azure. /li liGood understanding of Git workflow (branches, pull requests, code reviews). /li liFamiliarity or strong interest in AI Agentic frameworks (e.g., LangChain, CrewAI) and LLM integration. /li liPrevious exposure to financial topics or a strong desire to learn about asset allocation and portfolio management. /li liExposure to modern web frameworks like Next.js, React, and TypeScript. /li liBasic experience building REST APIs with Python (FastAPI/Flask) and handling asynchronous workflows. /li liFamiliarity with Docker and CI/CD concepts (e.g., GitLab CI). /li liA disciplined approach to software engineering, debugging, and understanding complex end‑to‑end workflows. /li liStrong interpersonal skills with the ability to operate effectively in an international, fast‑paced environment. /li liProactive attitude and the flexibility to manage evolving priorities. /li /ul /p #J-18808-Ljbffr