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Apply NowRole: AI Systems Engineer
Location: UK (Remote-first)
Recently listed as a "RegTech Top Performer" in Market Fintech's RegTech Supplier Performance Report, CUBE is pioneering the development of machine automated compliance.
We are a global RegTech business defining and implementing the gold standard of regulatory intelligence and change for the financial services industry.
We deliver our services through a SaaS platform, powered by an innovative combination of AI and proprietary data ontology, to simplify the complex and everchanging world of compliance for our clients.
At CUBE, we are creating the future and are a company rooted in strong values, team spirit and commitment to our customers and wider communities.
We serve some of the largest financial institutions globally and are expanding our footprint very fast.
As we do so, we are keen for new talent to join us and realize their full potential to grow into leadership positions within the business.
Our Products:
RegPlatform is a technology platform that streamlines regulatory change management.
It provides firms with a one-stop, continuously maintained inventory of global regulations, with effortless horizon scanning, integration capabilities and workflow management.
RegPlatform combines industry leading AI technology with expert validated insights to simplify the complexities of multi-jurisdictional regulatory content.
RegBrain allows customers to apply CUBE's AI models directly to their own content, enabling faster release and feedback cycles.
Our flagship AI services will be included, spanning structural detection, classification, entity extraction, summarisation, and recommendations.
Available to customers and partners as APIs and via a UI.
Role mission:
The mission of the AI System Engineer is to ensure that the ML driven systems RegBrain deploys are fit for purpose and sound at the time of deployment and during their whole life.
The role has touch-points throughout the life-cycle of a model, from conception to maintenance, including research and requires advances knowledge of NLP.
Responsibilities:
What we’re looking for:
Why Us?