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Stelle verifiziert vor 11 Stunden

Mathematiker (m/w/d)

Riverty Group GmbH·Berlin (Berlin)Hybridlimited contract
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Vox-Zusammenfassung
  • Aufgaben: Kundenkreditrisikomanagement im Buy Now Pay Later Bereich, Analyse und Optimierung von Portfolios, Zusammenarbeit in funktionsübergreifenden Teams
  • Anforderungen: Abschluss in Mathematik, Statistik oder Wirtschaft mit quantitativem Fokus, Erfahrung in Kreditrisikosteuerung, SQL-Kenntnisse, Berufserfahrung in der Finanzbranche
  • Kompetenzen: Analytisches Verständnis, Teamfähigkeit, Flexibilität, gute Englisch- und Deutschkenntnisse, praktische Anwendung von Methoden wie Scoring und Machine Learning
  • Bedingungen: Flexible Arbeitsbedingungen, Standort in Verl oder Berlin, befristeter Vertrag, hybrides Arbeiten möglich
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Stellenbeschreibung

Everyone’s story matters. Come shape your story with us at Riverty. But where does that take you? To one of our 30 hybrid workspaces - designed for exchanging ideas, learning from others, and shaping the way we work. An international community of over 4,000 people, representing almost 80 nationalities across 11 countries. United by one mission: Combining empathy, advanced technology and data-driven insights to keep people and businesses in flow. With payments made for them. So that they don’t have to worry about it. And there’s more. We are part of the family-owned Bertelsmann group. Established. Corporate. In a fast-paced industry. We enable flexible payments in various industries, simplifying the financial management of known brands and helping people repay debt to build financial confidence. In short: shaping FinTech. We are looking for a Risk Analyst - Client Underwriting (m/f/d) (limited contract) Join our team at our location in Verl or Berlin - flexible working conditions are available Customer credit risk management for our products in the Buy Now Pay Later area across Europe Analysis and risk assessment of our consumer portfolios and their ongoing optimization via customization of business rules on merchant and overall portfolio level Continuous improvement of underlying data analysis and existing business processes to support our product expansion in new areas Collaboration in cross-functional teams working on giant-leap changes in models Consulting Key Account Management regarding risk steering measures to maximize customer value Supporting the development of our risk steering platforms and the data provider management Furthermore, you interact with the BI experts to improve overall monitoring/reporting and the application of advanced analytics What will help you to succeed in the role: Academic educational skills - Degree in mathematics, statistics, or business/economics, preferably with a quantitative focus Eager to collect distinct practical knowledge in the application of methods for credit risk steering of consumer portfolios (scoring, decision engines, machine learning) in an international context Profound analytical/technical understanding and experience in creating individual data analysis (SQL skills required) Professional experience in the finance industry You are a team player, flexible and resilient You have excellent written and verbal communication skills in English, and German would be a huge benefit Disclosure requirements pertaining to the collection of your personal data: Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG. The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here. You can contact the company’s Data Protection Officer at the above-mentioned postal address. Further information on data protection and your rights can be found here.

Transparenz-Panel

Originalquelle
arbeitsagentur.de
Veröffentlicht
20. Juli 2026 · echtes Datum
Zuletzt verifiziert
vor 11 Stunden
Qualitäts-Score
35/100
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Unternehmen identifiziert0
applyUrl0
postedAt15
Vollständige Beschreibung20

Quelle: Bundesagentur für Arbeit — Jobsuche (arbeitsagentur.de)

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