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Data Analyst

CompraTica Empleos

EMP:Finance
London
Tiempo Completo
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Descripción

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 Data Analyst role within the Customer Data Operations team is pivotal in driving the value and effectiveness of the CUBE Platform.

This role involves leveraging advanced analytical.

Habilidades

to connect and optimise customer risk and control data within the CUBE Network

The position also focuses on improving data processes and ensuring that CUBE’s Network data reflects a consensus view of customers' risk and cont.

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