At Riverty, we believe that everyone should be in control of their own financial situation. Our shared commitment is to make financial solutions more innovative, empathetic and user-friendly to empower financial growth for everyone. To do this, we rely on 50 years of experience and the commitment of over 5,000 creative minds, innovators and explorers in 11 countries.
Are you ready?
As part of our community, you will have the opportunity to develop your skills and transform the world of finance together with us. We create an environment where you can evolve personally and benefit from our flexible working conditions and work-life balance.

FULL-TIME AT OUR LOCATION IN BERLIN OR AMSTERDAM - HYBRID WORKING CONDITIONS AVAILABLE.

The Data Science (Consumer and Risk) team at Riverty is seeking a skilled Machine Learning Engineer to build and productionize ML models that power our decision-making for online payment products. Your mission will be to develop, deploy, and maintain scalable machine learning systems to help us detect fraud and assess customer creditworthiness in real time.

BONUS SKILLS:

• Experience with tools such as SQL, Spark, Databricks, VS Code, and Docker.
• Familiarity with cloud infrastructure (e.g., AWS, Azure, or GCP) for deploying machine learning systems.
• Prior exposure to the risk, fraud, or fintech domain.
• Knowledge of MLOps practices and tools for model lifecycle management.

Benefits:

• Mobile Office: Opportunity to work from home
• Discounts & Extras: Exclusive Bertelsmann discounts and financial benefits, e.g., €1,500 referral bonus
• Flexible Working Hours and Models: Customize your working hours to suit your needs
• Training & Development: A variety of (online) courses, from language learning to leadership training, e.g., from Bertelsmann University
• Health & Leisure: Supported sports and (mental) health programs, e.g. from our partner TELUS Health
• Appreciative Environment: Diversity and employee networks enrich our culture

EQUAL OPPORTUNITY EMPLOYER STATEMENT

We want to be a fair and inclusive employer. We value the diverse perspectives that a diverse workforce brings to the table. Therefore, we are actively looking for people who enrich our company through their identity, background and personal experiences, with or without a disability

• Design, build, and maintain end-to-end machine learning pipelines — from data ingestion and preprocessing to model deployment and monitoring.
• Develop scalable and robust machine learning solutions that power risk and fraud decisioning.
• Collaborate with data scientists to turn experimental models into efficient production-ready systems.
• Improve and optimize existing models, infrastructure, and workflows for reliability, performance, and maintainability.
• Conduct code reviews and contribute to our ML engineering best practices.
• Work closely with product managers, data engineers, and cross-functional teams to integrate ML models into customer-facing applications.