Regulatory Data Analyst (80-100%)

Do you want to contribute to the integrity and transparency of Swiss financial markets through data-driven surveillance and regulatory oversight?

Within SIX Exchange Regulation, the Surveillance Assurance & Development team is responsible for the continuous enhancement of surveillance capabilities, data quality and the evolution of surveillance systems and methodologies.

As a Regulatory Data Analyst, you will act as the subject matter expert for Transaction Reporting under MiFID II (RTS 22) and Swiss FMIA requirements and help ensure that Transaction Reporting data is complete, accurate and fit for surveillance, compliance and enforcement purposes. You will work closely with Surveillance, Enforcement & Compliance and IT teams and contribute to the ongoing development of surveillance capabilities and data quality.

What You Will Do

• Act as the subject matter expert for Transaction Reporting, including MiFID II (RTS 22) and Swiss FMIA reporting requirements.
• Analyze transaction reporting data, perform data quality reviews and investigate reporting deficiencies, anomalies and completeness issues.
• Conduct analyses based on transaction reporting data and provide expert support to surveillance, compliance and enforcement activities, including investigations, requests from regulatory and supervisory authorities, and reporting-related assessments.
• Provide Transaction Reporting expertise and contribute to surveillance initiatives, regulatory changes, system enhancements and continuous improvement of transaction reporting data quality in collaboration with business and IT stakeholders.

What You Bring

• University degree in Economics, Finance, Computer Science or a related field, or equivalent professional experience.
• Experience in finance, capital markets or stock exchange environments. Good understanding of trading activities and financial instruments (e.g. equities, bonds, ETFs, warrants and derivatives). Experience in regulatory transaction reporting is a strong advantage.
• Strong analytical mindset and good SQL and Python knowledge with the ability to analyze, investigate and validate large datasets. Experience with Databricks and PySpark is an advantage.
• High attention to detail, proactive working style and strong communication skills.
• Fluent English is required; German language skills are an advantage.