Wealth Management - AI Data Scientist / Engineer

UBP - Union Bancaire Privée; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Union Bancaire Privée (UBP) in Zurich, Switzerland, is seeking a WM AI Data Scientist / Engineer to turn complex business problems into practical AI-enabled solutions across onboarding, KYC, and client lifecycle workflows.

You will design and build AI-enabled applications, integrate LLMs into real workflows, and develop backend services and user interfaces, while operating in a regulated banking environment. Occasional travel to Geneva may be required.

Qualifikationen

• Academic degree in Computer Science or a closely related discipline.
• 3+ years of professional AI, software engineering, or applied AI development.
• Experience building production-quality applications and prototypes.
• Hands-on experience integrating LLMs into applications.
• Experience with backend services and modern architectures.
• Nice to have web-based UI development experience.
• Knowledge of RAG, vector databases, and semantic search is advantageous.
• English fluency; French or German is a plus.
• Ability to translate business problems into technical solutions with product thinking.
• Experience in regulated banking environments is beneficial.

Aufgaben

• 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.

Kenntnisse

AI engineering

Software engineering

Backend services

Web UI development

RAG integration

Data pipelines

Ausbildung

BA/MA in Computer Science or related

Tools

APIs

Vector databases

Knowledge graphs

Semantic search

Jobbeschreibung

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.

We are looking for an WM AI Data Scientist / Engineer who enjoys turning difficult business problems into working technology.

This 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.

You 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.

The 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.

You will work closely with the Head of WM Client Lifecycle AI & Reporting in Zurich, with occasional travel to Geneva.

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;

Candidates must have the legal right to work in Switzerland at the time of hire. This position is 100% based in Zurich, Switzerland.