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Senior Risk Analyst - Credit Risk Modelling (m/f/d)

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 internatio...

Job Full source details
Bertelsmann-Jobs Luxembourg Source published Jul 28, 2026 Verified 3 weeks ago Reference REF1492B
✓ 92% verification score · Source: Bertelsmann Jobs Careers · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull-time
CountryLuxembourg
Job functionLegal
IndustryFinancial Services
Experience levelMid-Senior Level

Overview

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.

Full job description

About the company

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.

Full job description

In this role, you will be based in Luxembourg, working from RTL Group’s “RTL City” office on Boulevard Pierre Frieden in the Kirchberg district. RTL Group S.A. is a Luxembourg-based international media company and one of eight divisions of Bertelsmann, playing a key role in the group’s revenue and operating profit.

We are looking for a

Senior Risk Analyst - Credit Risk Modelling (m/f/d)

(unlimited, full-time) Join our team at our location in Luxembourg – flexible working conditions available

We are currently seeking to fill a senior role within our Client Underwriting unit.

As a key member of our team managing end customer risk for Buy Now Pay Later (BNPL) and related credit products, you will be expected to bring relevant knowledge and experience in credit models for consumer products.

Your Key Responsibilities:

  • Manage credit risk models for consumer products, supporting in development, validation, and optimization
  • Analysis of credit reference data and internal data sources to identify trends and insights
  • Working closely with Risk Management and Data Science teams to develop strategies for credit risk mitigation
  • Support in reviews and updates of the company's credit policies and procedures
  • Collaborating with other departments to ensure credit risk practices are understood and implemented

Qualifications and requirements

Required Qualifications:

  • A completed degree in Mathematics, Statistics, Economics, Finance or a related field
  • Minimum of 5 years of experience in credit risk analysis, preferably within a FinTech and the European banking environment
  • Proven experience in developing and implementing credit risk models in retail banking
  • Strong knowledge of one or more European markets and the available credit data
  • Excellent analytical, decision-making, and problem-solving skills
  • Strong communication skills in English to effectively interact with all levels of the organization (German, French or Dutch language skills are an advantage)

Additional information

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.

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Requirements & qualifications

Required Qualifications:

  • A completed degree in Mathematics, Statistics, Economics, Finance or a related field
  • Minimum of 5 years of experience in credit risk analysis, preferably within a FinTech and the European banking environment
  • Proven experience in developing and implementing credit risk models in retail banking
  • Strong knowledge of one or more European markets and the available credit data
  • Excellent analytical, decision-making, and problem-solving skills
  • Strong communication skills in English to effectively interact with all levels of the organization (German, French or Dutch language skills are an advantage)

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  4. Apply through the original employer or official recruitment destination shown on this page.

Verification notes

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