Data Analyst: RegTech AI Data & Risk Insights

Cube; Greater London; On-site; GBP 35,000 - 65,000; Full time

Job summary

CUBE is a global RegTech company delivering AI-powered regulatory intelligence via SaaS. The Data Analyst within Customer Data Operations connects customer risk data to the CUBE Network, improving data quality and processes while collaborating with Product and Engineering to automate workflows.

The role focuses on building consensus-based risk indices, ensuring accuracy across data, and contributing to ongoing data governance in a fast-paced environment.

Qualifications

• Some experience in a data-focused role.
• Proficiency in MS Office, particularly Excel.
• Familiarity with fast-paced FinTech/RegTech environments.
• Self-starter with proactive problem-solving.
• Collaborative team player with positive culture contribution.
• Proficiency in Python, SQL, MS/Azure Foundry and data visualization tools.

Responsibilities

• Connect customer data to the CUBE Network using advanced data matching and Python-based workflows.
• Deliver high-quality data insights for customers and improve data processes.
• Collaborate with Product and Engineering to design improved data processing workflows.
• Help define consensus-based risk and control indices to maintain Network consistency.
• Ensure data quality, accuracy, and consistency across core content.
• Perform related duties and ad hoc tasks as needed.

Skills

Python

SQL

Excel

Data visualization

Data quality

Risk governance

Communication

Collaboration

Automation

Tools

Tableau

Power BI

Job description

CUBE is a global RegTech company delivering AI-powered regulatory intelligence via SaaS. The Data Analyst within Customer Data Operations connects customer risk data to the CUBE Network, improving data quality and processes while collaborating with Product and Engineering to automate workflows.

The role focuses on building consensus-based risk indices, ensuring accuracy across data, and contributing to ongoing data governance in a fast-paced environment.