CUBE are 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. Why us? š CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the worldās top financial institutions globally. š In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. Weāre a fast-paced, high-performing team that thrives on pushing boundariesācontinuously evolving our products, services, and operations. At CUBE, we donāt just keep up we stay ahead. š± We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our āmake it happenā culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. š With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. š” We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Mission: Coordinate cross functional review of CUBE methodology for machine translation software and post-editing Create score to objectively quantify machine translation quality for each language Use score to determine languages that require improvement and deliver projects for this Key responsibilities Enhance CUBE methodology for machine translation software and post-editing Objectively quantify machine translation quality for each language Identify languages that require improvement and deliver projects for this Coordinate translation supplier relationships Use root cause analysis of translation errors to deliver systemic translation improvements Skills required: 5 yearsā experience managing machine translation on legislative content including languages in non-Latin alphabets Use of dictionaries and translation memories to optimise machine translation Ability to communicate clearly and concisely in written and spoken English (UK) Issue management with machine translation software provider Good knowledge of office applications including Word and Excel and ability to work with electronic research resources Ability to observe strict confidentiality Proven team skills Desirable: Experience working in the Financial Services sector Additional languages Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE.ā CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.