Data Analyst, RegTech & AI Insights

Cube; Greater London; On-site; GBP 32,000 - 54,000; Full time

Job summary

CUBE is a global RegTech business delivering regulatory intelligence for financial services through AI-powered SaaS solutions. The Data Analyst role sits in Customer Data Operations and focuses on connecting and optimising customer risk and control data within the CUBE Network.

You will work with SMEs and Product/Engineering to enhance data processing workflows, ensure data quality, and contribute to consensus-based risk indices. This is a fast-paced, collaborative role in a growing team.

Qualifications

• Some experience in a data-focused role.
• Proficiency in MS Office, particularly Excel.
• Familiarity with working in a fast-paced, scale-up environment, preferably within the FinTech or RegTech sectors.
• Self-starter with a pragmatic and proactive approach.
• A collaborative and flexible team player who can contribute positively to the company’s culture.
• Proficiency in at least one of the following data analysis tools and languages, such as Python, SQL, MS/Azure Foundry and data visualisation tools (e.g., Tableau, Power BI).

Responsibilities

• Support Subject Matter Experts (SMEs) in connecting customer data to the CUBE Network using advanced data matching protocols, tools, and Python-based solutions.
• Collaborate with subject matter experts to deliver high-quality, accurate data insights for customers while continuously improving your own expertise in risk and control frameworks.
• Work closely with the Product and Engineering teams to design and implement improved data processing workflows and tools, leveraging Python for automation and analysis.
• Assist in defining and refining CUBE’s consensus-based risk and control indices and business rules to maintain Network consistency.
• Ensure the ongoing quality, consistency, and accuracy of CUBE’s data, applying technical standards and quality control rigorously across all core content.
• Perform duties of a similar or related nature as needed, in line with other employees, without letting such tasks dominate the role.

Skills

Data management

Data quality

Risk governance

Automation & AI

Problem solving

Communication

Collaboration

Leadership

Tools

Python

SQL

Excel

Tableau

Power BI

Job description

CUBE is a global RegTech business delivering regulatory intelligence for financial services through AI-powered SaaS solutions. The Data Analyst role sits in Customer Data Operations and focuses on connecting and optimising customer risk and control data within the CUBE Network.

You will work with SMEs and Product/Engineering to enhance data processing workflows, ensure data quality, and contribute to consensus-based risk indices. This is a fast-paced, collaborative role in a growing team.