Market Abuse Surveillance Analyst

Role Summary

We are seeking motivated professionals to join our surveillance team. The team is responsible for identifying potential market abuse patterns, market manipulation or breaches of trading rules, as well as designing, implementing and operating anomaly detection algorithms. This is an opportunity to contribute to the strengthening of the market abuse framework on Euronext’s cash and derivatives markets. The position is based in Amsterdam and may require working in shift.

• Act as the first line of defense in the analysis of trading data and identification of potential breaches.
• Collaborate with compliance teams and external regulators to investigate potential breaches of market rules and assist in implementing corrective actions.
• Prepare detailed reports on detected anomalies.
• Provide recommendations for improving surveillance processes and tools.
• Contribute to the design, implementation, calibration, testing, operation and maintenance of market abuse detection algorithms and alerts, both from a quantitative and technical perspective.
• Support the trading operations teams in the real‑time activities on cash and derivative markets when required.
• Stay up to date with the latest financial regulations and standards (e.g. MiFID II, MAR) and ensure surveillance practices are aligned with regulatory changes.

• Master’s degree in quantitative finance, quantitative disciplines or a related field.
• At least two years of experience in a similar role within a financial institution, exchange, or market regulatory authority.
• Experience with the implementation of anomaly/pattern detection algorithms and automation projects.
• Fluency in English.

• Proficiency in market surveillance tools (specialised software, anomaly detection tools).
• In‑depth knowledge of financial regulations and compliance standards (MiFIDII, MAR, etc.).
• Strong ability to analyse financial data and market behaviours.
• Experience in designing, implementing and operating anomaly/pattern detection algorithms, automation projects or data‑driven analysis, such as time‑series modelling or econometric modelling.
• Understanding of financial markets dynamics and cash and derivatives products, including commodities.
• Knowledge of market microstructure, trading functionalities and their evolution from a business, technical and regulatory perspective.
• Technical IT knowledge regarding the management and implementation of projects.
• Programming knowledge is required (Python, SQL).
• Attention to detail and strong observational skills.
• Self‑motivated and proactive.
• Excellent written and verbal communication skills.
• Ability to work under pressure.
• Team‑oriented with a collaborative approach to working with various internal and external stakeholders.

We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.