CUBE
CUBE
CUBE dezvoltă software de informații privind reglementările și de conformitate pentru companii din sectoare reglementate, inclusiv cel bancar, asigurări și gestionarea activelor. Platforma sa ajută echipele de conformitate să urmărească schimbările de reglementare, să le evalueze relevanța și să gestioneze răspunsurile, prin integrări care conectează fluxurile de lucru privind reglementările la sistemele terțe existente. CUBE deservește atât instituții financiare mari, cât și organizații de dimensiune medie, combinând analiza automatizată cu expertiza specialiștilor. Produsele companiei includ RegPlatform și RegTrend; activitatea sa se concentrează pe sprijinirea organizațiilor pentru a ține pasul cu cerințele de reglementare în continuă evoluție.

Data Analyst, London Hybrid

Improve customer risk and control data for CUBE’s AI-powered regulatory compliance platform. Use Python to strengthen data workflows, quality, and consensus-based risk indices.

Descriere

  • Help subject matter experts connect customer data to the CUBE Network using data-matching protocols, tools, and Python solutions.
  • Collaborate with subject matter experts to provide customers with accurate data insights.
  • Build knowledge of risk and control frameworks.
  • Partner with Product and Engineering to design and improve data-processing workflows and tools.
  • Use Python to automate tasks and analyze data.
  • Help define and refine consensus-based risk and control indices and business rules.
  • Maintain the quality, consistency, and accuracy of CUBE’s data.
  • Apply technical standards and rigorous quality checks to core content.
  • Take on related duties and ad hoc tasks as reasonably expected.

Cerințe

  • Bring some experience in a data-focused role.
  • Be proficient with MS Office, especially Excel.
  • Be familiar with a fast-paced scale-up environment; FinTech or RegTech experience is preferred.
  • Take a pragmatic, proactive approach and work independently.
  • Be a collaborative and flexible team member.
  • Be proficient in at least one of Python, SQL, MS/Azure Foundry, or data visualization tools such as Tableau or Power BI.
  • Live within a 1.5-hour commute of London.
  • Be willing to work from the London office 10 days per month.
  • Have the right to work in the UK or meet UK employment visa sponsorship requirements.

Beneficii

  • Access personal and professional development from day one.
  • Join an inclusive and diverse workplace.
  • Work in a flexible hybrid arrangement.
  • Collaborate with a global team across EMEA, the Americas, and APAC.

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