Role Purpose Design and deliver AI/ML and Generative AI solutions that enhance client intelligence, automation, and decision-making across Private Banking platforms, leveraging data sourced from core banking systems (e.g. Avaloq), CRM, and digital channels.
Key Responsibilities
Develop and deploy AI/ML and GenAI models (e.g. NLP, summarization, recommendation engines)
Build scalable data pipelines and feature engineering workflows using structured and unstructured data
Integrate AI capabilities into enterprise platforms via APIs and microservices.
Work with data originating from core banking platforms (e.g. Avaloq) including client, portfolio, and transaction data.
Enable AI-driven use cases such as client insights, next-best-action, and automation of RM workflows.
Implement model monitoring, governance, and performance optimization aligned to enterprise standards.
Collaborate with engineering and business teams to translate wealth use cases into scalable solutions.
Experience working with wealth management data (clients, portfolios, transactions)
Understanding of data flows from core banking systems such as Avaloq
Awareness of AI governance, model risk, and regulatory considerations in banking
Secondary: Data engineering (ETL pipelines, feature stores) API development Vector databases / embeddings
Job Classification
Industry: BankingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full time