CUBE

About the Company

CUBE is an established leader in Automated Regulatory Intelligence (ARI) and Regulatory Change Management (RCM). We deliver next-generation solutions that keep customers ahead of every-changing regulatory demands, enable them to reduce the risk of regulatory breaches or the propensity to miss regulations. The CUBE RegPlatform product portfolio is powered by a purpose-built regulatory AI engine (RegBrain). They track, analyse, and monitor laws, rules, and regulations in every country and in every published language to create an always up-to-date regulatory view.

With over 700 employees, a global footprint across six main hubs, we can support customer needs across all time zones and territories. CUBE has c.1000 customers in banking, insurance, asset and investment management, payments and associated industries.

Listed Jobs

Company Name

CUBE

Job Title

Data Analyst

Job Description

Job title: Data Analyst Role Summary: Conduct data analysis and ensure data quality for the core regulatory compliance SaaS product, supporting the Data Management Team Lead. Responsible for extracting, transforming, and reporting data using SQL and related tools, monitoring data integrity, and collaborating with cross‑functional teams. Expactations: Deliver accurate, timely reports and insights; maintain high data quality standards; manage SQL scripting tasks independently; communicate findings clearly to stakeholders; fulfill home‑based work productivity requirements. Key Responsibilities: • Write, test, and optimize SQL scripts for data extraction and manipulation. • Perform data cleansing, validation, and integrity checks. • Generate and maintain reports using SSRS/SSAS and related BI tools. • Collaborate with Data Management and Analytics teams on data architecture improvements. • Document data models, processes, and troubleshooting procedures. • Participate in continuous improvement initiatives for data workflows. Required Skills: • Proficient with Microsoft SQL Server 2016+ and advanced SQL scripting. • Strong Excel (formulas, pivot tables, data visualization). • Experience in data cleansing, modeling, and quality assurance. • Effective communication, both written and verbal. • Self‑motivated, organized, detail‑oriented, and able to work productively from home. • Familiarity with SSIS or comparable ETL tools, SSRS/SSAS, PowerShell, and the Atlassian suite is preferred. • Knowledge of graph/NoSQL databases, C#/.Net, or AI integrations is a plus. Required Education & Certifications: • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field. • Minimum 3 years of professional experience in data analysis or data management roles.

London, United kingdom

Hybrid

Junior

07-12-2025

Company Name

CUBE

Job Title

AI Engineer

Job Description

Job title: AI Engineer Role Summary: Design, develop, and production‑grade deploy AI/ML solutions—recommender systems, NLP pipelines, and LLM‑driven features—for regulatory compliance SaaS products. Lead end‑to‑end engineering from research to cloud deployment, primarily on Azure, ensuring scalability, model interpretability, and operational reliability. Expactations: - Minimum 2 years of professional experience in machine learning, preferably in NLP. - Proven ability to select, implement, and tune statistical/ML models for complex, high‑dimensional data. - Experience writing clean, testable Python code and working with SQL, NoSQL, or graph databases. - Strong grasp of data structures, data modeling, and software architecture, especially in cloud settings. - Ability to communicate technical concepts effectively to cross‑functional teams. Key Responsibilities: - Build, enhance, and productionise ML and LLM features for internal and customer platforms. - Solve problems such as hierarchical classification, personalized legal document filtering, and heterogenous text data networking at scale. - Develop agent‑ready tools that leverage knowledge graph insights. - Deploy interpretable ML/DL models on Azure, ensuring efficient scaling and operational robustness. - Collaborate with subject‑matter experts to translate research into product‑ready solutions. - Continuously explore and integrate the latest research to improve products and services. Required Skills: - Machine learning & NLP expertise (classification, recommendation, LLMs). - Python programming (Pandas, Scikit‑learn, PyTorch/TensorFlow). - SQL and NoSQL/graph database proficiency. - Cloud architecture knowledge (Azure ML, Synapse, Kubernetes, CI/CD). - Data modeling, software architecture, and scalable system design. - Strong analytical, problem‑solving, and communication skills. - Optional: LLM deployment, recommender system theory, neurosymbolic AI, portfolio evidence (GitHub, Kaggle). Required Education & Certifications: Not specified.

London, United kingdom

Hybrid

Junior

27-01-2026