---
title: 'Data Analyst at CUBE'
canonical: 'https://feeny.ai/job/data-analyst-cube-london-qc7h50tmerjp'
type: 'job'
last_seen: '2026-09-09'
---

# Data Analyst at CUBE

- **Company:** CUBE
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/cube/b2136230-576d-4b8c-967c-a9f71f04a86f

## Job description

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 skills 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 control data with the highest standards of quality and consistency.

## Key Responsibilities

- Support Subject Matter Experts (SMEs) in the process of 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.
- In addition to the duties and responsibilities listed above, the postholder may also be reasonably expected to perform duties of a similar or related nature to those outlined in the job description, and/or to undertake ad hoc or special responsibilities, in line with all other employees of the company. However, such tasks or projects will not be expected to form a dominant part of the individual’s role.

## Skills & Competencies

- Data Management & Quality: Executes data cleansing, validation, and enhancement tasks. Ensure data accuracy and consistency under supervision.
- Risk & Governance: Understands basic data governance and control principles. Supports compliance and data integrity checks.
- Tools, Automation & AI: Demonstrates proficiency in Python, SQL, Excel, and visualisation tools. Begins exploring AI and ML automation techniques.
- Problem-Solving & Innovation: Applies structured problem-solving to resolve data issues and suggest small process enhancements.
- Communication & Collaboration: Communicates clearly with team members and contributes accurate data outputs to shared projects.
- Operational Execution: Completes assigned data tasks efficiently and on time, following defined workflows.
- Mentoring & Leadership: Seeks guidance from peers and shares knowledge with the team. Build confidence through learning and feedback.

Required Experience & 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.
- Proven self-starter with a pragmatic and proactive approach to problem-solving and innovation.
- 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). 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.​ CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

## About CUBE

## Company Overview
- **One-liner**: CUBE provides Automated Regulatory Intelligence (ARI) solutions powered by a purpose-built AI engine (RegBrain), helping regulated firms across banking, insurance, and asset management stay compliant with ever-changing global regulations.
- **Entity Type**: Private (Private Equity backed; latest round led by Hg in March 2024)
- **Headquarters**: London, United Kingdom
- **Founded**: 2011
- **Founders**: Ben Richmond (CEO)

## Core Business
- **Primary industry**: RegTech (Regulatory Technology) – also classified as Technology, Information and Internet.
- **Target customers**: B2B – primarily Tier 1 & Tier 2 banks, insurers, asset/investment managers, payment firms; approximately 1,000 customers worldwide.
- **Mission / Purpose**: “To empower every regulated firm with the business intelligence to meet complex compliance challenges.”

## Products & Services
- **CUBE RegPlatform**: An end-to-end automated regulatory intelligence platform that captures, standardises, and contextualises regulatory data across financial crime, cybersecurity, privacy, tech risk, and more. Maps content onto customers’ compliance frameworks.
- **RegBrain**: Purpose-built AI engine (combining computer vision, generative AI, machine learning, and NLP) that tracks, analyses, and monitors laws, rules, and regulations in every country and published language, delivering always up-to-date regulatory views.
- **Regulatory Change Management (RCM)**: Services and tools to help clients manage regulatory updates and adapt their compliance posture.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed.
- **Key Metric (Private)**: Total funding includes at least two major Private Equity rounds (led by Hg and Bregal Milestone). Reported annual revenue of GBP 2.7 million (likely an older or partial figure; reliable current revenue not publicly available).
- **Notable Investors / Partners**: Hg (lead in 2024 round), Bregal Milestone (lead in 2022 round). Also acquired Acin (2023) and The Hub.
- **Growth Signals**:
  - Global footprint across 6 main hubs, operating in 25 countries.
  - Employee count fluctuates between ~550 (LinkedIn) and ~700+ (company site), with 22 active job postings (as of mid-2025).
  - Recent acquisition of Acin and The Hub expanded capabilities and customer base.
  - Named market leader for regulatory intelligence; first deal with a Tier 1 US global bank in 2016 and deployed “the world’s biggest regulatory intelligence platform” at a major financial institution.

## Competitive Advantages
- **AI‐driven regulatory intelligence** – RegBrain automates the tracking, analysis, and monitoring of regulations across jurisdictions and languages, reducing manual effort and risk of missing changes.
- **Global coverage** – Covers regulations in every country and published language, a significant barrier for competitors.
- **End‑to‑end solution** – From data capture to compliance framework mapping, reducing the need for multiple vendors.
- **Expert‑validated insights** – Combines AI with human regulatory experts to ensure accuracy and context.

## Strategic Focus
- Expanding AI capabilities – further development of RegBrain, including agentic AI and generative AI features.
- Deepening content coverage and data quality across all regulated sectors.
- Growing the customer base beyond financial services into adjacent highly regulated industries.
- Strengthening global presence through strategic acquisitions (e.g., Acin, The Hub) and organic hiring.

## Why Work Here
- **Mission‑driven culture** – Emphasises “make it happen” mentality, giving employees autonomy to innovate and shape the company’s future.
- **Remote / Hybrid flexibility** – Many roles are listed as fully remote or hybrid (London hub). Global team across 19+ countries.
- **Development focus** – “Unlock endless opportunities for growth, collaboration and innovation”; internal mobility and skill‑building encouraged.
- **Diversity & Inclusion** – Actively collects DE&I data to improve hiring practices; values inclusive environment.
- **Engineering & AI‑heavy** – Large technical team (138 in Tech, 75 in Research, 51 in Product) working at the forefront of AI/ML applied to regulatory data.

## Sources
1. [cube.global – About Us](https://cube.global/about-us)
2. [cube.global – Careers page](https://cube.global/about-us/careers)
3. [careers.cube.global – main careers site](https://careers.cube.global/)
4. [LinkedIn – CUBE company profile](https://www.linkedin.com/company/cube-global)
5. [jobs.ashbyhq.com/CUBE](https://jobs.ashbyhq.com/CUBE)

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