Data Analyst, AI-Driven RegTech Platform

Cube; Greater London; Hybrid; GBP 28,000 - 55,000; Full time

Job summary

CUBE is seeking a Data Analyst to join the Customer Data Operations team in a fast-paced RegTech environment. You will connect and optimise customer risk data across the CUBE Network, improving data processes and ensuring high-quality, consensus-based data across networks.

Across a global team, you will collaborate with Product and Engineering to automate workflows, apply data governance principles, and deliver accurate data insights for clients.

Qualifications

• Some experience in a data-focused role.
• Proficiency in MS Excel.
• Experience in fast-paced scale-up FinTech/RegTech environments preferred.

Responsibilities

• Support SMEs in connecting customer data to the CUBE Network using data matching tools and Python.
• Collaborate with SMEs to deliver high-quality data insights for customers.
• Work with Product and Engineering to improve data workflows using Python.
• Help define consensus-based risk and control indices and business rules.
• Maintain data quality, consistency, and accuracy across the network.
• Perform similar or related duties as needed in line with colleagues.

Skills

Data cleansing

Python

SQL

Excel

Data governance

Tools

Tableau

Power BI

Job description

CUBE is seeking a Data Analyst to join the Customer Data Operations team in a fast-paced RegTech environment. You will connect and optimise customer risk data across the CUBE Network, improving data processes and ensuring high-quality, consensus-based data across networks.

Across a global team, you will collaborate with Product and Engineering to automate workflows, apply data governance principles, and deliver accurate data insights for clients.