CUBE Content Governance Global Limited

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? CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world's top financial institutions globally. In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We're a fast-paced, high-performing team that thrives on pushing boundaries-continuously evolving our products, services, and operations. At CUBE, we don't just keep up we stay ahead. We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our "make it happen" culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. 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. 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: The Payroll Manager will play a vital role in managing and overseeing payroll processes across multiple countries, including the UK, US, India, Sri Lanka, and Australia. This position requires a dynamic and experienced individual who can effectively work with outsourced payroll providers in various countries, ensuring compliance with local regulations and seamless payroll operations. This is a newly created position due to the significant business growth. Responsibilities: Global Payroll Management: Oversee and manage payroll processes across multiple countries, ensuring accuracy and compliance with local laws and regulations Outsourced Payroll Providers: Coordinate with outsourced payroll providers in the UK, US, India, Sri Lanka, and Australia to ensure timely and accurate payroll administration EOR Providers: Collaborate with Employer of Record (EOR) providers in various countries to facilitate payroll services for remote employees and contingent workers Compliance: Ensure payroll practices comply with local labour laws, tax regulations, and reporting requirements in each country Data Management: Maintain accurate payroll records and ensure data integrity across all payroll systems. Ensure the right data flow through seamless integration between the HRIS and payroll providers Reporting: Generate and analyse payroll reports to provide insights and support decision-making processes Process Improvement: Identify opportunities for streamlining payroll processes and implementing best practices to enhance efficiency Employee Support: Provide support and guidance to employees regarding payroll, pension and other related inquiries and issues Audits: Prepare and manage payroll audits, ensuring compliance and addressing any discrepancies Vendor Management: Negotiate contracts and manage relationships with payroll vendors to ensure service quality and cost-effectiveness Monitoring Payroll Mailbox: Monitor the dedicated payroll mailbox and ensure timely responses to employee queries What we're looking for: Bachelor's degree in Finance, Accounting, Business Administration, or a related field 5+ years of experience in global payroll management, with a strong understanding of international payroll regulations In-depth knowledge of payroll regulations and compliance requirements in the UK, US, India, Sri Lanka, and Australia Payroll certification (CPP, FPC, or equivalent) is preferred Strong ethical standards and integrity in handling sensitive payroll information Ability to adapt to changing regulations and environments across different countries Ability to independently collaborate with external providers Excellent organizational and time management skills Strong analytical and problem-solving abilities Effective communication and interpersonal skills Proficiency in payroll systems and software Ability to work independently and as part of a team 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. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Role: Head of AI Engineering Location: London, UK (Hybrid) 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. Role mission: Reporting to the CTO, you will lead our AI Engineering teams with resources across the UK, Australia, India and Sri Lanka. The ideal candidate will have a strong background in AI and ML techniques, data engineering and software development, team leadership, and project management as well as direct experience in managing complex data pipelines, leveraging AI solutions and converting unstructured real-world information and documents into high-quality actionable data for demanding customers. Responsibilities: Work with product and customer teams to define and deliver AI enabled features across the stack, including natural language processing and computer vision techniques. Take responsibility as engineering owner for all AI projects and capabilities, from ideation through to delivery of robust and reliable production systems. Manage the AI/ML teams, balancing execution and delivery with research and exploration. Develop and implement a data strategy for AI teams that integrates diverse data sources, ensuring efficient data collection, storage, and processing. Drive value and time to market by balancing the use of external capabilities and internally tuned models. Lead teams across Australia, India, Sri Lanka and the UK. Define and deliver a robust platform allowing AI teams to access data safely and deliver AI enabled services. Work closely with the CTO, Engineering and wider leadership to define and execute engineering and technology strategies aligned with the company's goals. Ensure timely delivery of high-quality work while maintaining a positive work culture. Mentor and coach team members, encouraging their professional growth. Support the overall company brand by speaking at meet ups and conferences. What we're looking for: Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or a highly related field. Proven experience as an AI Engineering Leader, managing multiple squads and complex engineering delivery projects. Experience in designing and deploying machine learning-driven solutions. Solid mathematical foundation in deep learning techniques, LLM and NLP, with experience in working with unstructured data. Proficiency in Python and relevant libraries (e.g., PyTorch, NumPy). Strong background in general software development, beyond AI/ML. Experience with cloud environments - Azure and GCP preferred. Excellent project management skills and experience with Agile methodologies. Ability to work on multiple projects in parallel effectively. Excellent communication and interpersonal skills. Experience running teams across multiple time zones. Strong problem-solving abilities and analytical skills. A track record of speaking at meet ups and conferences.