Global Risk Analytics Lead | Data Science & ML

Bertelsmann; Heerenveen; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid work model

International team

Job summary

Riverty, part of Bertelsmann, invites you to join our Risk Analytics team at our Heerenveen location with flexible working conditions. You will lead a risk analytics team focused on solvency and fraud indicators in a balanced risk environment, shaping risk strategy across markets in Europe.

In this role you will drive data‑driven insights, collaborate with Risk Product, Data Science, Pricing, and Controlling, and enable ML‑based models for risk decisioning.

Qualifications

• Proven track record in data analytics and credit risk management.
• Minimum of 3 years leading cross-border teams in risk analytics.
• Experience enabling machine learning–based models for risk assessment and decisioning.
• Proficiency in SQL and Python for complex analyses.
• English required; German or Dutch a plus.

Responsibilities

• Lead a high‑performing international risk analytics team.
• Ensure analytics tools and data‑driven decision‑making for fraud/solvency risk issues.
• Drive continuous improvement of data analyses and monitoring/reporting.
• Provide risk insights for pricing requests and collaborate with stakeholders.
• Support Risk Data Science initiatives and enable ML models for risk decisioning.
• Represent the Risk Analytics team in key projects.

Skills

Data analytics

Credit risk management

Team leadership

Machine learning

SQL

Python

English

German or Dutch

Job description

Riverty, part of Bertelsmann, invites you to join our Risk Analytics team at our Heerenveen location with flexible working conditions. You will lead a risk analytics team focused on solvency and fraud indicators in a balanced risk environment, shaping risk strategy across markets in Europe.

In this role you will drive data‑driven insights, collaborate with Risk Product, Data Science, Pricing, and Controlling, and enable ML‑based models for risk decisioning.