Wealth Management - AI Data Scientist / Engineer

pUnion 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. /p pWe are looking for an WM AI Data Scientist / Engineer who enjoys turning difficult business problems into working technology. /p pThis is not a traditional reporting role, and it is not a pure research position. We are looking for someone who can take an idea, challenge it, shape the solution and then build it. /p pYou will work across AI, software engineering, data and business processes, developing tools that combine Large Language Models, APIs, structured and unstructured data, backend services and user-facing applications. Additionally, the role offers opportunities to contribute to client onboarding, periodic review, KYC/KYT, transaction monitoring, document understanding and banker productivity. /p pThe right candidate will be comfortable moving from a conversation with a business stakeholder to a technical architecture, from a rough prototype to a usable application, and from experimentation to something that can operate reliably in a regulated banking environment. /p pYou will work closely with the Head of WM Client Lifecycle AI Reporting in Zurich, with occasional travel to Geneva. /p h3Main responsibilities /h3 ul liTurn ambiguous business problems into clear technical solutions; /li liDesign and build AI-enabled applications from concept through to implementation; /li liIntegrate Large Language Models into real business workflows using techniques such as RAG, structured prompting, tool use and agentic workflows; /li liBuild backend services and APIs that connect AI applications with internal systems, data sources and business processes; /li liDevelop or contribute to user-facing web applications that make AI capabilities simple and intuitive to use; /li liWork with structured and unstructured information, including documents, free text, client data and workflow data; /li liBuild data-processing pipelines that prepare and organise information for AI applications; /li liTest solutions with real users, challenge assumptions and improve applications based on feedback; /li liBuild solutions that are traceable, maintainable and appropriate for a regulated environment; /li liTake end-to-end ownership of technical delivery rather than focusing on a single narrow component; /li liExplain technical choices, limitations and risks clearly to non-technical stakeholders; /li /ul h3Requirements /h3 ul liAcademic degree (BA/MA) in Computer Science, Artificial Intelligence, Software Engineering or a closely related technical discipline; /li liAt least 3+ years of relevant professional experience in AI engineering, software engineering or applied AI development; /li liProven experience building real applications, products or production-quality prototypes; /li liHands-on experience integrating LLMs or Generative AI into applications; /li liExperience developing backend services and working with modern application architectures; /li liExperience developing web-based user interfaces is a strong plus; /li liFamiliarity with RAG, vector databases, knowledge graphs, graph databases or semantic search is an advantage; /li liExperience with client due diligence, client lifecycle processes or document-heavy workflows is beneficial; /li liAbility to translate business problems into technical solutions, with sound product thinking and an understanding of technical architecture and implementation; /li liFluency in English; French or German is an advantage; /li liStrong analytical and problem-solving skills, intellectual curiosity, and excellent research, communication and presentation skills; /li /ul pCandidates must have the legal right to work in Switzerland at the time of hire. This position is 100% based in Zurich, Switzerland. /p #J-18808-Ljbffr