Business Intelligence Expert (m/w/d)
Worldline is hiring a Business Intelligence Expert (m/w/d) for a remote role open to applicants in Germany. Level rates it ; you can apply on Worldline.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- This is listed as a remote role.
- Worldline has 270 other open roles on Level.
AI in this role
Who we are
PAYONE is a joint venture between Worldline and the DSV Group (Deutscher Sparkassenverlag) and one of the leading payment service providers in Germany and Austria. With more than 260,000 customers and six billion transactions processed per year, we enable merchants and service providers – whether in-store, mobile or online – to meet the demands of cashless payments through fast, simple and reliable digital processes. We offer tailored solutions for companies of all sizes and industries, designed in line with the highest security standards.
Dein Verantwortungsbereich
- Risikoanalyse, Reporting und Monitoring im Payment-Umfeld (OLV-Acquiring, Merchant-Portfolio).
- Entwicklung und Validierung von Prognose- und Risikomodellen für Kredit- und Transaktionsrisiken.
- Aufbau und Weiterentwicklung einer maßgeschneiderten Reporting-Lösung inkl. KPI-Dashboards.
- Zusammenarbeit mit IT, Risk Management, Compliance und Business-Stakeholdern.
- Durchführung von Abnahmetests, Produktionsfreigaben und Backtesting der Modelle.
- Erstellung von Entscheidungsgrundlagen für Management und Shareholder.
- Begleitung von Projekten mit fachlichem Bezug und fachliche Projektleitung.
Deine Vorteile
Die Wertschätzung jedes Einzelnen liegt PAYONE am Herzen und dazu gehört auch, die Leistung zu erkennen und entsprechend zu belohnen. Deswegen bietet PAYONE unter anderem:
- Flexible Arbeitszeiten inklusive Homeoffice Möglichkeiten
- Mobility Konzepte
- Eine offene und transparente Unternehmenskultur
- Aus- und Weiterbildungsmöglichkeiten
- Spannende Aufgabenfelder in einem zukunftsorientierten Unternehmen
Das bringst du mit
- Hochschulabschluss in Wirtschaftsinformatik, Statistik, Mathematik, Finance oder vergleichbar.
- Mehrjährige Berufserfahrung in Business Intelligence, Data Analytics oder Risk Analytics, ideal im Payment/FinTech-Umfeld.
- Sehr gute Kenntnisse in statistischen Methoden, Prognosemodellen, SQL/VBA sowie Data-Analytics-Tools (Python/R bevorzugt).
- Erfahrung mit IFRS 9, Basel-Regularien oder vergleichbarer Finanzregulierung im Payment-Bereich ist vorteilhaft.
- Sehr gute MS-Office-Kenntnisse; gute Datenbankkenntnisse und Fähigkeit zur Datenvisualisierung.
- Starke Kommunikationsfähigkeit in Deutsch und Englisch; Präsentationserfahrung auf Executiv-Ebene.
We are on an exciting journey in the payments industry and we are looking for proactive people who can drive positive change, take on topics actively and show what comes next, helping to move the organisation forward. At PAYONE, you will work with determined colleagues from all over the world to tackle unique challenges as a team and make a real impact on society. With an encouraging company culture, strong technology and extensive training opportunities, we support you in advancing your career. Join our team of more than 18,000 people worldwide and help shape the future – because it is yours too.
Learn more about life at PAYONE at jobs.worldline.com/payone
We are proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any applicable legally protected characteristics.
How we rate this
Business Intelligence Expert (m/w/d) at Worldline rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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