Risk Analytics Lead — Data-Driven, Hybrid

Riverty; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Riverty in Amsterdam is seeking a Risk Analytics Lead to drive a high-performing international team focused on solvency and fraud risk indicators. You will shape risk strategy with data-driven insights and collaborate with Risk Product, Data Science, Pricing and Finance to steer risk decisions.

The role emphasizes cross-functional impact and European expansion. You will lead analytics initiatives across Europe, enabling ML-based models and advanced analytics using SQL and Python.

Qualifications

• Minimum of 3 years of experience in leading cross-border teams in credit risk analytics.
• Proven track-record in data analytics and credit risk management in a banking, BNPL or fast-growing payments environment.
• Experience enabling machine learning-based models and advanced analytics for risk assessment and decisioning.
• Proficiency with SQL and Python for complex analyses.
• English language mandatory; German or Dutch is a plus.

Responsibilities

• Leading a high-performing team of risk analytics experts in an international setup.
• Using analytics tools and data-driven decision-making to solve fraud/solvency risk problems and support product expansion.
• Driving continuous improvement of data analyses and monitoring, establishing best practices for ad-hoc analyses.
• Providing risk insights for pricing requests and collaborating with internal stakeholders.
• Enabling ML-based models and advanced analytics for risk decisioning in cross-functional initiatives.
• Representing the Risk Analytics team in projects with analytics and implementation responsibilities.

Skills

Data analytics

Credit risk management

Team leadership

Machine learning concepts

Tools

SQL

Python

Job description

Riverty in Amsterdam is seeking a Risk Analytics Lead to drive a high-performing international team focused on solvency and fraud risk indicators. You will shape risk strategy with data-driven insights and collaborate with Risk Product, Data Science, Pricing and Finance to steer risk decisions.

The role emphasizes cross-functional impact and European expansion. You will lead analytics initiatives across Europe, enabling ML-based models and advanced analytics using SQL and Python.