Customer Data SME

Cube
London, GB

Who this role is best for

Aimed at mid-level financial services professionals with expertise in operational risk and controls who thrive in fast-paced RegTech environments.

Best fit for

  • Operational risk specialists with hands-on financial services experience
    — “extensive experience in a financial services risk and control front line role
  • Data governance experts who can mentor junior team members
    — “mentors junior team members and shapes customer data practices
  • Professionals comfortable with AI-driven regulatory compliance solutions
    — “utilises and implements AI solutions and supports major customer initiatives

Things to consider

  • Expectation to work under time pressure in a fast-paced environment
    — “ability to work in a fast-paced Regtech environment
  • Requires collaboration with technical teams on automation initiatives
    — “Collaborating with CUBE’s Product, Engineering, and Data Science teams

How to stand out

  • Showcase specific examples of improving data governance frameworks
    — “Contribute to the consistent application of CUBE’s Data Technical Standards
  • Highlight cross-functional projects involving risk and control matching
    — “Matching of risks and controls
  • Demonstrate mentorship experience in data operations settings
    — “Leadership and mentorship of more junior members of the team
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • supporting the delivery of the Data & Analytics team’s goals
  • mentoring junior team members
  • shaping customer data practices
Typical background
data managementdata governanceAI solutions

Skills & requirements

Required

Data ManagementData QualityData GovernanceAI SolutionsCustomer Data ProcessingIndex ManagementData StandardsData ProcessingCross-team CollaborationAutomation

Preferred

LeadershipMentorship

Stack & domain

Operational Risk And Risk ControlsCustomer Data Processing And AnalysisData StandardsAi SolutionsData Technical StandardsBusiness RulesData Processing ExercisesData And Process ImprovementCross-team WorkingAutomationProduct, Engineering, And Data Science CollaborationLeadership And MentorshipLeadershipMentorshipCollaborationCommunicationProblem SolvingTeamworkTechnical ExpertiseRegulatory TechnologyFinancial ServicesComplianceData GovernanceAi Research And Engineering

About the role

Original posting from Cube via Ashby

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

This role provides senior expertise in Operational Risk and Risk Controls, applying it through customer data processing and analysis, ensuring data quality, governance, and strategic utilisation. It develops data standards, advises on complex data challenges, utilises and implements AI solutions and supports major customer initiatives within CUBE. The role mentors junior team members and shapes customer data practices.

Key Responsibilities

  • Actively contribute to CUBE’s success by supporting the delivery of the Data & Analytics team’s goals.
  • Play a leading role in the execution of all aspects of Customer Data Operations on a prioritised basis. Specifically:
  • Matching of risks and controls
  • Index build
  • Index management
  • Other data expansion
  • Contribute to the consistent application of CUBE’s Data Technical Standards to core risk and control content and beyond.
  • Contribute to the ongoing development of CUBE’s business rules which form the basis for CUBE’s index assets.
  • As someone with subject matter expertise, contribute to data processing exercises on a prioritised basis as required (particularly matching and index building).
  • Actively seek opportunities to engage with the rest of D&A (and wider CUBE as appropriate) to improve data and processes
  • Collaborate closely with other members of the D&A team to support cross-team working and understanding.
  • Actively support the CUBE-wide objective to automate. Collaborating with CUBE’s Product, Engineering, and Data Science teams to facilitate faster and better data processing.
  • Leadership and mentorship of more junior members of the team, supporting their development in line with business needs.

Skills & Competencies

  • Data Management & Quality: Oversees enterprise-wide data architecture and governance practices. Ensure consistency, reliability, and traceability in data assets.
  • Risk & Governance: Acts as subject matter expert on governance, risk, and compliance. Embeds control standards across operational processes.
  • Tools, Automation & AI: Leads automation and integration initiatives, embedding AI/ML where relevant. Establishes tool standards and governance.
  • Problem-Solving & Innovation: Champions innovation in automation and process optimization. Promotes continuous improvement and data-driven decision-making.
  • Communication & Collaboration: Leads cross-functional discussions, influencing key stakeholders through data-driven recommendations.
  • Operational Execution: Aligns data operations execution with strategic business goals, driving governance and consistency.
  • Mentoring & Leadership: Mentors team members across teams, developing strong technical and professional capability.

Required Experience & Qualifications

  • Able to demonstrate a strong knowledge of risks and controls having gained extensive experience in a financial services risk and control front line role (e.g. Business Risk & Control Officer, Supervisor).
  • Highly knowledgeable on the key risks faced by our clients, e.g. market manipulation, unauthorised trading, resilience.
  • Deep understanding of NFRM core processes, e.g. RCSA, incident management, read across / lessons learned.
  • Experienced with internal audit, external audit and ideally regulators – and understanding of areas of regulatory scrutiny targeting governance and controls (e.g. SMCR).
  • Able to clearly and succinctly articulate and promote CUBE’s risk and control product offering.
  • Ability to work in a fast-paced Regtech environment producing work to a high standard under time pressure.
  • A pragmatic self-starter with the ability to work independently and as part of a team.
  • Strong organisational skills, with impeccable attention to detail and proven ability to manage multiple projects with varying and time-pressured deliverables.
  • Flexible, supportive, collaborative, contributing positively to our strong team dynamic and culture.
  • Ability to clearly communicate technical concepts to non-technical stakeholders.
  • Concise written and verbal communication skills.
  • Extensive MS Office skills, particularly Excel.
  • 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).
  • Experience mentoring to achieve excellence.

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.

Source: Cube careers (Ashby)

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