Compliance Data & Automation Engineer

About the role

Swissquote, Switzerland's leading digital bank, is hiring a Compliance Data & Automation Engineer in Gland. Embedded in the Compliance Department's Support and Sanctions team, the role supports the Compliance and Client Lifecycle Integrity (CLI) departments by simplifying access to data, automating processes and helping bring AI into their daily work. You will work with technical teams on workflow, automation and AI initiatives.

Key responsibilities

• Streamline and automate Compliance and CLI processes using Python, JavaScript and workflow tools, and build AI-assisted tools (LLMs, RAG, agents) for alert review, investigations, adverse media screening and regulatory research
• Automate controls and supervision reporting so management sees alerts, cases, pipelines and control results, and ensure AI solutions are explainable, auditable and compliant with data privacy rules
• Translate compliance requirements into technical specifications for IT development
• Map CLI processes, build and maintain automated workflows for client data processing and document handling, and train staff in their use
• Maintain the Compliance Data Dictionary, define and measure data quality rules, and act as Single Point of Contact for Compliance data matters
• Extract data from databases with SQL, provide audit-ready extracts for regulators and audits, and automate recurring reports while monitoring regulatory changes

Required profile

• Master's degree in a quantitative field, Engineering, Computer Science or Data Science
• 3+ years of hands-on experience in data, automation or AI engineering
• Fluent in French and English
• Understanding of a compliance framework and/or strong interest in learning compliance and risk topics in a Swiss bank

Required skills

• Python for data analysis and process automation (must)
• Proven experience deploying LLM-based solutions (RAG, agents, model serving or fine-tuning) in production
• SQL for querying structured databases
• JavaScript, HTML and CSS (React, Node.js or Django)
• Preferred: local/on-premise AI infrastructure (e.g. vLLM), Linux, Docker, CI/CD, data visualization tools (Tableau, PowerBI), data governance platforms (OpenMetadata)