Customer Data SME at CUBE - ScoutJobs - The AI-curated global job board
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Posted 12 hours ago

Customer Data SME

CUBECustomer Data SME

Requirements

Financial services risk and control experience, Knowledge of NFRM processes (RCSA, incident management), Proficiency in Python, SQL, or Azure Foundry, Data visualization skills (Tableau, Power BI), Strong Excel skills

Skills

PythonSQLRegTechData governance

About the role

About the Company

CUBE is 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.

Responsibilities

  • Play a leading role in the execution of Customer Data Operations, including matching risks and controls, index build, and index management
  • Contribute to the consistent application of Data Technical Standards to core risk and control content
  • Support the ongoing development of business rules that form the basis for CUBE’s index assets
  • Collaborate with Product, Engineering, and Data Science teams to facilitate automation and faster data processing
  • Provide leadership and mentorship to junior team members to support their professional development
  • Act as a subject matter expert in data processing exercises, particularly matching and index building

Requirements

  • Extensive experience in a financial services risk and control frontline role (e.g., Business Risk & Control Officer)
  • Deep understanding of NFRM core processes such as RCSA and incident management
  • Experience with internal/external audit or regulatory scrutiny (e.g., SMCR)
  • Proficiency in Python, SQL, MS/Azure Foundry, or data visualization tools like Tableau or Power BI
  • Extensive MS Office skills, particularly Excel
  • Ability to communicate technical concepts to non-technical stakeholders
  • Strong organizational skills and ability to work in a fast-paced Regtech environment

Preferred Qualifications

  • Experience mentoring others to achieve excellence
  • Knowledge of specific client risks such as market manipulation or unauthorized trading
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Customer Data SME

CUBE · London

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