Qualitas Funds is looking for an AI Solutions & Data Analyst to help accelerate the practical and responsible adoption of artificial intelligence across the firm. This role sits within the Technology team and reports into the Technology function, while working closely with the Investment team on a cross-functional basis. The position combines AI implementation, process automation, data integration and business analysis.

The successful candidate will spend approximately 60% of their time within the Technology team, supporting AI, automation and process-improvement initiatives across the organisation, and up to 40% of their time providing direct support to the Investment team, developing data-driven solutions and tools aimed at improving investment-related processes. This is not a pure data-analysis or software-development position. It is a hands-on role at the intersection of artificial intelligence, data, automation, technology and business processes.

Key Responsibilities

AI solutions and automation

- Identify opportunities where AI and automation can improve business processes across the firm.
- Design, build and implement AI-powered workflows, agents and automations.
- Translate business needs into functional requirements and operational tools.
- Build prototypes and evolve successful use cases into reliable production solutions.
- Configure and integrate generative AI platforms, APIs, data sources and internal systems.
- Test, document, monitor and continuously improve deployed AI solutions.

Data and integrations

- Work with structured and unstructured data from corporate systems, databases, documents and APIs.
- Create and maintain integrations between AI solutions and internal or external systems.
- Perform data extraction, transformation, validation and analysis when required.
- Work with relational and vector databases to support retrieval and AI-powered workflows.
- Support the evolution of Qualitas Insight and other internal data platforms.

Governance and production readiness

- Ensure AI solutions comply with internal requirements for security, permissions,



confidential information and data handling.
- Incorporate testing, monitoring, logging and human validation into production solutions.
- Review integrations, authentication methods, secrets management and system access with IT.
- Contribute to reusable standards, templates and documentation for corporate AI initiatives.
- Coordinate internal stakeholders and technology providers when needed.

Investment team support

- Support the Investment team with the management, analysis and monitoring of information and activities related to the area, helping improve data quality, accessibility, reporting and overall process efficiency.
- Support the automation and scalability of investment-related workflows.
- Help improve the collection, organisation, validation and analysis of investment data.

Experience

Required

- 2 to 4 years of experience in AI implementation, automation, data solutions, technology consulting or digital transformation.
- Demonstrable experience designing or implementing AI-powered workflows, agents or automations.
- Ability to translate business requirements into practical technical solutions.
- Experience with APIs, authentication, HTTP requests and JSON payloads.
- Working knowledge of Python and SQL.
- Experience integrating data from applications, databases or document repositories.
- Understanding of generative AI concepts, including prompt design, retrieval-augmented generation and external tools or data sources.
- Ability to test and troubleshoot integrations.
- Strong documentation, organisation and project follow-up skills.
- Professional fluency in Spanish and English.

Preferred

- Vector databases, embeddings or semantic search.
- Enterprise AI or automation platforms such as Stack AI, Microsoft Copilot Studio, Power Automate, n8n or similar.
- Deployment of AI or data solutions in production environments.
- Security, permissions, secrets management, monitoring and governance.
- Microsoft Azure, Microsoft 365 or SharePoint.
- Financial services, private equity, investment processes or corporate finance.
- Git, Azure DevOps or another source-control and delivery platform.

📌 AI Solutions & Data Analyst (Madrid)
🏢 Qualitas Funds
📍 Madrid