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.Ā
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.
The role is responsible for leading the delivery of end-to-end customer analytics engagements, translating and presenting complex data in clear, actionable insights that support decision-making and build customer trust. It designs and executes advanced analytics workflows, including automated AI/ML models and visualisations, while embedding risk and control principles into analysis and reporting to support compliance and risk awareness. The role drives continuous improvement through innovation, automation, and best practices, manages multiple projects with consistency and quality, and communicates insights effectively to internal and external stakeholders. In addition, the role provides mentoring and guidance to junior analysts, promoting high standards, collaboration, and capability development across the team.
Key Responsibilities
Manage and deliver end-to-end customer programmes, ensuring analytics outputs are accurate, insightful, and aligned to customer objectives.
Design, build, and maintain advanced analytics workflows, including automated models, dashboards, and visualisations.
Translate analytical findings into actionable insights and recommendations for both technical and non-technical stakeholders.
Integrate risk and control considerations into analytics and reporting, identifying key risk indicators and supporting compliance alignment.
Lead structured problem-solving initiatives to improve analytics quality, efficiency, and scalability through automation and standardisation.
Manage multiple analytics projects concurrently, ensuring consistent delivery, quality standards, and timely execution.
Present insights clearly and confidently to internal teams and external customers, tailoring messaging to business context.
Promote and embed best practices in analytics delivery, documentation, and data governance.
Coach and mentor junior analysts, providing guidance, feedback, and support to build capability and confidence.
Foster collaboration within the team and across stakeholders to deliver high-quality, integrated outcomes.
Skills & Competencies
Customer Engagement & Delivery: Manages end-to-end customer deliverables, translating analytics into actionable insights. Builds customer trust through reliability and quality of insight and delivery.
Intelligence, Data Analytics & AI: Designs and executes advanced analytics workflows. Builds automated models and visualisations to enhance insight depth and speed. Aids development of new AI tools and customer use cases. Utilises LLMs and data analytics tools such as Python and PowerBI to build and deliver analytics.
Risk & Control Expertise: Integrates risk and control principles into analytics and reporting. Identifies risk indicators and supports compliance alignment.
Problem-Solving, Innovation & Best Practices: Implements measurable process and automation improvements. Promotes consistent best practices within analytics delivery.
Communication, Collaboration & Stakeholder Management: Presents insights effectively to internal and external stakeholders, ensuring clarity and business relevance.
Strategic & Operational Execution: Manages multiple projects efficiently, ensuring consistency and quality. Improves processes and delivery speed.
Mentoring & Leadership: Coaches junior analysts, promoting collaboration and quality standards within the team.
Required Experience & Qualifications
5+ yearsā experience in a relevant financial services risk/compliance or analytics role.
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.
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