Compliance Data & Automation Engineer (AI)

Location: Gland, VD, Switzerland; hybrid

Company

hirify.global is Switzerland’s leading digital bank, providing trading, investing, and everyday banking solutions to over one million clients worldwide.

What you will do

• Automate Compliance and Client Lifecycle Integrity processes using Python, JavaScript, workflow tools, and AI.
• Design, deploy, and maintain AI-assisted tools using LLMs, RAG, agents, model serving, or fine-tuning for alert review, investigations, adverse media screening, and regulatory research.
• Automate compliance controls, supervision reporting, data extraction, and recurring regulatory reporting processes.
• Build workflows for client data processing, document handling, and data updates, including document extraction and classification.
• Maintain the Compliance Data Dictionary, implement data quality rules, monitor data quality, and coordinate with data stakeholders.
• Translate Compliance requirements into technical specifications and collaborate with IT and other bank teams on automation and AI initiatives.

Requirements

• 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.
• Expertise in Python for data analysis and process automation.
• Production experience deploying LLM-based solutions, including RAG, agents, model serving, or fine-tuning.
• Working knowledge of SQL for querying and extracting data from structured databases.
• Knowledge of JavaScript, HTML, and CSS for web development, including React, Node.js, or Django.
• Understanding of Compliance frameworks or a strong willingness to learn Compliance and Risk topics within a Swiss bank.
• Familiarity with data privacy regulations such as GDPR and FINMA.
• Fluent French and English.
• Strong attention to detail, analytical thinking, independent troubleshooting, ability to work under strict regulatory deadlines, and excellent communication with technical and non-technical stakeholders.

Nice to have

• Experience with local or on-premise AI infrastructure such as vLLM, Linux, Docker, and CI/CD pipelines.
• Experience with data visualization and reporting tools such as Tableau or Power BI.
• Experience with relational databases such as Oracle, SQL Server, or PostgreSQL.
• Familiarity with data governance platforms such as OpenMetadata.
• Research background or publications in data, AI, or optimization.

Culture & Benefits

• Full-time employment in a hybrid workplace.
• Collaboration with technical, Compliance, Client Lifecycle Integrity, Data Governance, and other banking teams.
• Work in a regulated digital banking environment with opportunities to develop automation and AI solutions.
• Equal opportunity environment welcoming candidates from diverse backgrounds and experiences.