B2B Risk Analyst - FinTech, Hybrid Work, Global Impact

Apply now!; Amsterdam; Hybrid; EUR 80,000 - 110,000; Full time

Job summary

Riverty in Amsterdam, Netherlands is seeking a Risk Analyst – B2B for our Risk Analytics team in the Client Underwriting Unit. You will influence risk strategy for multiple markets and build scalable frameworks for underwriting decisions in a fast-paced FinTech environment.

You will collaborate with Data Science, Risk Product, Fraud Risk, and Finance to deliver ML-based credit models and KPI dashboards, with flexible location across Europe and hybrid working options.

Qualifications

• Significant experience in B2B risk analytics within BNPL, lending, payments, or fintech.
• Experience in a credit risk management environment.
• Proficiency in SQL, Python or R for analytics.
• Experience working in international, agile, cross-functional environments.
• English mandatory; German or Dutch is a plus.

Responsibilities

• Lead redesign of B2B underwriting models, including scorecards, decision engines, rule sets, and rating methodologies.
• Improve data analysis and processes to support B2B product expansion in new countries.
• Build harmonized multi-country credit frameworks adapting to local dynamics and data availability.
• Establish best practices for ad-hoc and deep-dive analyses.
• Collaborate with Data Science to build ML-based credit models for B2B customers.
• Enhance reporting frameworks, dashboards, and risk KPIs for leadership decisions.
• Work with Risk Product, Fraud Risk Steering, Data Science, Finance and others.
• Report to the Risk Analytics & Steering Lead within Client Underwriting.

Skills

B2B risk analytics

SQL

Python

R

Cross-functional

English

German or Dutch

Job description

Riverty in Amsterdam, Netherlands is seeking a Risk Analyst – B2B for our Risk Analytics team in the Client Underwriting Unit. You will influence risk strategy for multiple markets and build scalable frameworks for underwriting decisions in a fast-paced FinTech environment.

You will collaborate with Data Science, Risk Product, Fraud Risk, and Finance to deliver ML-based credit models and KPI dashboards, with flexible location across Europe and hybrid working options.