Wealth Management - AI Data Scientist / Engineer

Wer wir sind

Union Bancaire Privée (UBP) is a leading Private Bank specialising in Wealth Management (WM), serving a sophisticated international client base. Within the WM Client Lifecycle AI & Reporting Team, we are building practical AI solutions that improve how Wealth Management teams work across the client lifecycle - from onboarding and periodic review to KYC, transaction alert handling, to client intelligence.

Main responsibilities

■ Turn ambiguous business problems into clear technical solutions; ■ Design and build AI-enabled applications from concept through to implementation; ■ Integrate Large Language Models into real business workflows using techniques such as RAG, structured prompting, tool use and agentic workflows; ■ Build backend services and APIs that connect AI applications with internal systems, data sources and business processes; ■ Develop or contribute to user-facing web applications that make AI capabilities simple and intuitive to use; ■ Work with structured and unstructured information, including documents, free text, client data and workflow data; ■ Build data-processing pipelines that prepare and organise information for AI applications; ■ Test solutions with real users, challenge assumptions and improve applications based on feedback; ■ Build solutions that are traceable, maintainable and appropriate for a regulated environment; ■ Take end-to-end ownership of technical delivery rather than focusing on a single narrow component; ■ Explain technical choices, limitations and risks clearly to non-technical stakeholders;

Requirements

■ Academic degree (BA/MA) in Computer Science, Artificial Intelligence, Software Engineering or a closely related technical discipline; ■ At least 3+ years of relevant professional experience in AI engineering, software engineering or applied AI development; ■ Proven experience building real applications, products or production-quality prototypes; ■ Hands-on experience integrating LLMs or Generative AI into applications; ■ Experience developing backend services and working with modern application architectures; ■ Experience developing web-based user interfaces is a strong plus; ■ Familiarity with RAG, vector databases, knowledge graphs, graph databases or semantic search is an advantage; ■ Experience with client due diligence, client lifecycle processes or document-heavy workflows is beneficial; ■ Ability to translate business problems into technical solutions, with sound product thinking and an understanding of technical architecture and implementation; ■ Fluency in English; French or German is an advantage; ■ Strong analytical and problem-solving skills, intellectual curiosity, and excellent research, communication and presentation skills;

Fähigkeiten

ML / AIArchitectPythonMachine Learning

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