CUBE is a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients.
Requirements
- At least two years of professional experience in ML, ideally within the NLP domain.
- Solid understanding of statistical and machine learning techniques with ability to select models that best suit the problem at hand.
- Ability to write clear, robust, and testable code in Python.
- Confident using SQL and NoSQL/graph databases.
- Solid understanding of data structures, data modelling, and software architecture, especially cloud-based.
- Strong communication skills, capable of explaining complex technical concepts to employees across the business.
- Natural creativity with a track record of exploring innovative use cases of data and applications of statistical/ML methods.
