Additionalinformation

Additional Information

Companydescription

Company Description

At Swissquote, we’re all in. All in to shake things up. All in to build the bank people actually want to use. All in to make finance less boring — and a lot more powerful.

We’re Switzerland’s leading digital bank — 1,400+ people across Europe, the Middle East and Asia, building real financial solutions for over a million clients worldwide. From trading and investing to everyday banking, we cover the full picture. We move fast, but we build things we’re genuinely proud of. Have a look behind the scenes by checking Humans of Swissquote on Instagram.

Growing fast creates room. Room to try things, own things, and grow at a pace most places can’t offer. Whether you like the spotlight or prefer to just put your head down and do great work, there’s space for both here.

We’ve ditched the dress code — but never the chance to celebrate. Big win or small, we make it count. The kind of place where the atmosphere takes care of itself.

As an equal opportunity employer, we welcome candidates from all backgrounds, experiences and perspectives to join our team and contribute to our shared success.

Feeling it? It’s a good start. Apply.

Jobdescription

Job Description

About the Function

The Compliance Department protects the Bank against money laundering, fraud and sanctions breaches, and oversees the Bank's adherence to its regulatory obligations through controls, monitoring and supervision. The Client Lifecycle Integrity (CLI) department runs the operational processes that keep client records complete and up to date, from account opening to client data updates and closures. Both departments rely on accurate data and efficient workflows, and work closely with IT and Data Governance.

Job Description

As Compliance Data & Automation Engineer, part of the Support and Sanctions team and embedded in the Compliance Department, you will support the Compliance and Client Lifecycle Integrity (CLI) departments by simplifying access to data, automating processes and contributing to the development of AI into the tasks of the Compliance and Client Lifecycle Integrity departments. For the Compliance Department, you will help strengthen control and supervision activities with automated checks, AI-assisted tools and reliable reporting. For CLI, you will help to automate operational workflows to reduce repetitive tasks and improve processing quality.

You will collaborate with Swissquote's technical teams on strategic workflow, automation and AI initiatives as well as all other relevant teams.

Your tasks will include:

• Process streamlining and automation: Leverage your programming expertise and AI knowledge to enhance internal systems, automate processes for Compliance and CLI and add some AI into the Departments’ day to day work.
• Data Stewardship: Support data governance by ensuring consistent data definitions, monitoring data quality, and implementing data-related decisions tools.
• Reporting & Regulatory Support: Contribute to the automation of internal and external processes and reporting.
• Compliance Analysis: Conduct data-driven compliance analysis to support decision-making.
• Ad-hoc Projects: Participate in transversal projects in collaboration with various stakeholders within the bank.

Key Responsibilities

Compliance – Control & Supervision:

• Analyse compliance control processes, identify automation opportunities and develop solutions through Python, JavaScript and workflow automation tools
• Design, build and deploy AI-assisted tools (LLMs, RAG, agents) to support alert review, investigations, adverse media screening and regulatory research
• Automate controls and supervision reporting, giving Compliance management a clear view of alerts, cases, pipelines and control results
• Ensure AI solutions are explainable, auditable and compliant with data privacy requirements.
• Translate Compliance requirements into technical specifications for IT development or improvement initiatives

Client Lifecycle Integrity – Operational Automation:

• Map CLI operational processes and identify manual, repetitive tasks suitable for automation
• Build and maintain automated workflows for client data processing, document handling and data updates, using AI where it adds value (e.g., document extraction and classification)
• Monitor the performance of automated workflows and continuously improve processing time and quality
• Train and support CLI and Compliance staff in the adoption of AI and automated workflows

Data Stewardship:

• Maintain and enhance the Compliance Data Dictionary, ensuring business definitions, standards and metadata are aligned with enterprise data governance policies
• Define, enforce and measure data quality rules; operate data quality monitoring processes, document risks and support resolution efforts
• Ensure that the Data Owner's decisions are effectively implemented in day-to-day data operations
• Act as Single Point of Contact for Compliance data matters, coordinating with BRM and other data stakeholders across the bank

Reporting & Regulatory Support:

• Perform and manage complex data extractions from structured databases using SQL and other query tools
• Provide accurate, timely and auditable data extracts for regulatory requests, internal audits and external inspections
• Automate and optimize recurring extraction and reporting processes
• Proactively monitor regulatory changes impacting data needs, including those related to the use of AI

Qualifications

• 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 is a must
• Proven experience deploying LLM-based solutions (RAG, agents, model serving or fine-tuning) in production
• Working knowledge of SQL to query and extract data from structured databases
• Knowledgeable in JavaScript, HTML and CSS for web development (React, Node.js or Django)
• Understanding of Compliance framework and/or solid appetite to learn Compliance and Risk topics within a Swiss bank
• Familiarity with data privacy regulations (e.g., GDPR, FINMA, ...)
• Fluent in French and English

Preferred Skills

• Experience with local or on-premise AI infrastructure (e.g., vLLM) for sensitive data, Linux, Docker and CI/CD pipelines, data visualization and reporting tools (e.g., Tableau, PowerBI), relational databases (e.g., Oracle, SQL Server, PostgreSQL)
• Familiarity with data governance platforms (e.g., OpenMetadata) and research background or publications in data, AI or optimization is a plus

Key Competencies

• Strong attention to detail and focus on data accuracy
• Analytical thinking and ability to troubleshoot data and system issues independently
• Ability to work under pressure with strict regulatory deadlines
• Excellent communication skills to interact with technical and non-technical stakeholders
• Proactive mindset, with ability to work independently in a collaborative environment