Company DescriptionBy joining Swissquote, you will become a member of the sector's leading company. You will be encouraged to develop your skills and to grow within teams of highly qualified specialists. We encourage personal development and actively support creative team work, leadership and responsibility.We have a fantastic opportunity for a motivated individual who is looking for a position within a high performing and growing organization, to take ownership of the operations program for the business and build effective, long-term partnerships.Job DescriptionAs part of the Support and Sanctions team and embedded in the Compliance Department, you will be supporting the compliance teams, leveraging your programming expertise to develop and maintain reporting and automate processes. As part of the compliance department, you will help combatting money laundering, fraud, and ensure the Bank is in line with international sanctions by acting as the Data Steward for the Compliance data domain, working closely with the Data Governance team and supporting the Data Owner and helping to automate Compliance processes.You will have multiple tasks, which include:
In-house Management tools: Leverage your programming expertise to enhance internal systems and processes in the areas of Compliance
Data Stewardship: Support Compliance data governance by ensuring consistent data definitions, monitoring data quality, and implementing data-related decisions
Reporting: 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
In-house management tools:
Translate Compliance requirements into technical specifications for IT development or improvement initiatives
Analyze compliance processes, identify and develop automation opportunities through Python, VBA, JavaScript, CSS
Data Stewardship:
Maintain and enhance the Compliance Data Dictionary, ensuring business definitions, standards, and metadata are aligned with enterprise data governance policies
Identify and enforce data quality standards, including the definition, enforcement, and measurement of data quality rules
Operate and maintain data quality monitoring processes, identifying data issues, documenting risks, and supporting resolution efforts
Ensure that 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 other data stakeholders across the bank
Collaborate with IT/Data Management teams to resolve data-related issues and enhance data processes
Reporting:
Data Extraction & Delivery
Perform and manage complex data extractions from structured databases using SQL and other query tools.
Deliver high-quality datasets to support regulatory filings and internal compliance investigations
Automate and optimize recurring extraction processes where possible.
Technical Collaboration
Work closely with IT, Data Engineering, and other technical teams to ensure data availability, appropriate access controls, and adherence to security policies
Regulatory Support
Provide accurate, timely, and auditable data extracts for regulatory requests, internal audits, and external inspections
Proactively monitor upcoming regulatory changes impacting data needs and adjust data sourcing strategies accordingly
Qualifications
Master's degree in a Quantitative field, Computer Science or Data Science
3+ years of hands-on experience in SQL development and data extraction activities
Expertise in Python for data analysis is a must
Knowledgeable in JavaScript, HTML, Django and CSS for web development
Understanding of Compliance framework and/or solid appetite to learn Compliance framework
Experience in data documentation and data governance policies implementation
Familiarity with data privacy regulations (e.g., GDPR, FINMA,...)
Fluent in French and/or in English
Preferred Skills
Strong SQL skills, with the ability to write efficient and optimized queries on large datasets
Experience with data visualization and reporting tools (e.g., Tableau, PowerBI)
Familiarity with data governance platforms (e.g., Openmetadata) is a plus
Experience working with relational databases (e.g., Oracle, SQL Server, Snowflake, PostgreSQL)
Expertise of scripting languages (Python, Shell) for data processing automation
Knowledgeable in JavaScript, HTML, Django and CSS for web development and data visualization
Key Competencies
Strong attention to detail and focus on data accuracy
Analytical thinking and ability to troubleshoot data 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
