B2B Risk Analyst — ML-Driven & Cross-Border

Bertelsmann-Jobs

Netherlands

Hybrid

EUR 70,000 - 100,000

Full time

14 days+

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Job summary

Riverty in Europe is seeking a Risk Analyst - B2B to join the Risk Analytics team within the Client Underwriting Unit. You will impact risk assessment for B2B customers with a hands-on approach and help shape underwriting strategies across markets.

The role emphasizes cross-country data analysis, collaboration with Data Science and Risk Product, and the development of scalable risk models in a fast-paced FinTech environment with flexible locations in Germany, Luxembourg, the Netherlands, and

Qualifications

  • Significant experience in B2B risk analytics, ideally within BNPL, lending, payments, or fintech.
  • Experience in a credit risk management environment.
  • English mandatory; German or Dutch a plus.

Responsibilities

  • Lead the redesign of B2B underwriting models, including scorecards, decision engines, rule sets, and rating methodologies.
  • Continuous improvement of underlying data analysis and existing business processes to support our B2B product expansion in new countries.
  • Build harmonized multi-country credit frameworks while adapting strategies to local market dynamics, regulations, and data availability.
  • Establish best practices for ad-hoc & deep-dive analyses.
  • Partner with Data Science to build and deploy next-generation ML-based credit models for customers in the B2B space.
  • Enhance reporting frameworks, dashboards, and risk KPIs to support leadership decision-making.
  • Work in close collaboration with other functions such as Risk Product, Fraud Risk Steering, Data Science, Finance, etc.

Skills

Risk analytics
SQL
Python
R
Data analysis
English
Cross-functional teamwork
Strategic thinking

Job description

Riverty in Europe is seeking a Risk Analyst - B2B to join the Risk Analytics team within the Client Underwriting Unit. You will impact risk assessment for B2B customers with a hands-on approach and help shape underwriting strategies across markets.

The role emphasizes cross-country data analysis, collaboration with Data Science and Risk Product, and the development of scalable risk models in a fast-paced FinTech environment with flexible locations in Germany, Luxembourg, the Netherlands, and

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