Ratepay‘s risk management platform scans hundreds of thousands of transactions per day in order to enable secure payments for our merchants and their customers while also protecting our profitability. For this purpose, Software Engineers, Data Scientists, Data Engineers, Machine learning Engineers and Product Managers closely collaborate in the Risk-engineering tribe to continuously enhance our risk management capabilities by creating new in-house solutions for fraud prevention and credit risk assessment based on state-of-the-art machine learning, data processing, and the integration of third-party providers.
Your mission:
Currently operating on an on-premise setup for our ML use-cases, we want to significantly improve our capabilities by augmenting our ML systems to suit our growing needs for automation, scalability and ease of use.
This is an exciting and rewarding position where you will be one of the main contributors to implement, operate, grow and improve our Risk platform as an AWS cloud-based solution.
You will build and own large parts of our ML framework, such as features stores, data catalogue and automated feature generation with the goal to enable reliable ML delivery solutions at scale.
Partner closely with machine learning engineers, data scientists, analysts, software engineers and researchers
Build reliable, distributed data pipelines and intuitive data products that feed into machine learning models, analytics, and research, thereby allowing our stakeholders to easily leverage data in a self-serve manner.
Your mission:
Currently operating on an on-premise setup for our ML use-cases, we want to significantly improve our capabilities by augmenting our ML systems to suit our growing needs for automation, scalability and ease of use.
This is an exciting and rewarding position where you will be one of the main contributors to implement, operate, grow and improve our Risk platform as an AWS cloud-based solution.
You will build and own large parts of our ML framework, such as features stores, data catalogue and automated feature generation with the goal to enable reliable ML delivery solutions at scale.
Partner closely with machine learning engineers, data scientists, analysts, software engineers and researchers
Build reliable, distributed data pipelines and intuitive data products that feed into machine learning models, analytics, and research, thereby allowing our stakeholders to easily leverage data in a self-serve manner.
- Focused on data pipelines, features stores, feature generation + cloud systems
- Together with a diverse, cross-functional team of Engineers and Data Scientists, you bring our Risk Decision Platform to the next level
- Build and contribute towards significant parts of our data engineering framework in Risk Machine Learning: Finding ways to create and improve scalable, efficient and well-tested solutions
- Involved in the day-to-day operations of the team: Maintaining and improving our current tools & scripts and supporting ML Engineers and Data Scientists
- You bring your improvement and automation ideas to life, shaping the future of data engineering at Ratepay