03 set - Italia
Allianz
Job purpose / role
Support the digital solutions for investment team in extending our agentic AI platform for investment data and portfolio intelligence. Work with us on various components of the platform from data pipelines, APIs, agents, and analytical tools. The role suits students who want to combine excellent software engineering skills with quantitative finance skills.
Key responsibilities
- Build and optimize data pipelines and SQL queries against large investment datasets
- Prototype and evaluate new approaches: agent architectures, retrieval strategies, tooling and document findings for the team
- Write clean, tested, reviewable code and participate in code reviews and architecture discussions
- Produce concise technical documentation for the solutions you build
Key requirements / Skills / Experience
- Enrolled in a degree in Computer Science, Mathematics, Physics, Data Science or a comparable quantitative field
- Excellent technical background with strong, demonstrable Python skills and solid SQL
- Strong problem-solving ability.
The interview process includes a coding assessment (algorithms and data structures).
- Ability to reason about and explain your own design decisions.
- Fluent English (written and spoken).
Nice to have:
Experience with cloud platforms, ideally Azure
Exposure to LLM/agent frameworks (LangGraph, MCP)
Interest in or coursework on capital markets, fixed income or portfolio theory
Git, CI/CD, Docker and contributions to open source or substantial personal projects (portfolio/GitHub link welcome)
104041 | IT & Tech Engineering | Professional | | Allianz Investment Management | Full-Time | Temporary
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer.
We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and
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