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Location
In office (Zurich)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Sep 24, 2026.

Overview
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SIX

SIX is a Swiss financial market infrastructure group headquartered in Zurich that operates stock exchanges, securities settlement and custody, banking and payment services and financial information. Formed in 2008 from the merger of Swiss financial companies and owned by banks, it runs the SIX Swiss Exchange and, since acquiring BME, the Spanish stock exchanges in Madrid, with further offices in London, Warsaw, Frankfurt and Stockholm. It hires Java and full-stack developers, test and platform engineers, product and project managers, business analysts, controllers, internal auditors and interns in Madrid, Zurich and Warsaw.
Backed by team@irregular

SIX drives the transformation of financial markets.

What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.

Specialist Fraud Analyst (100%)

Zurich|Bis zu 40 % Home Office möglich| Reference8287

Bist du breit mit uns das Vertrauen im Kartengeschäft zu stärken, in dem wir gemeinsam betrügerische Aktivitäten aufdecken und wirksam stoppen? Dann verstärke unser Fraud Intelligence Team.

Als Fraud Analyst bist du für die Analyse von betrügerischen Transaktionen verantwortlich und entwickelst gezielte Gegenmassnahmen um Betrugsaktivitäten zu unterbinden.

Das sind deine Aufgaben

  • Analyse von betrügerischen Transaktionen und Ermittlung von neuen Fraud Trends
  • Erstellen und Anpassen von Regeln in unserem Betrugsfrühwarnsystem
  • Aufbereiten von Reports zu Fraud Fällen, Trends und KPIs
  • Steuerung Fraud Detection & Prevention (PRISMA)
  • Fraud Incident Management bei Fraud Attacken

Das bringst du mit

  • Starke analytische Fähigkeiten und Erfahrung in der Erkennung neuer Betrugsmuster und Angriffsszenarien.
  • Erfahrung im Aufbau, der Optimierung und dem Testing von Fraud-Detection-Regeln und Scoring-Modellen.
  • Sehr gute SQL-Kenntnisse sowie praktische Erfahrung mit Python für Datenanalysen und Automatisierungen.
  • Fähigkeit, grosse Datenmengen auszuwerten und daraus konkrete Fraud- und Business-Massnahmen abzuleiten.
  • Erfahrung mit Fraud-Management-, Case-Management- und Reporting-Plattformen.
  • Fundiertes Know-how im Fraud Management und Interesse an innovativen Ansätzen in den Bereichen Analytics, Detection und Prevention
  • Ausgezeichnete Deutsch- und Englishkentnisse

If you have any questions, check out our FAQ page or call Julia Schmidtat +41583998670.

For this vacancy we only accept direct applications.

Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.

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