Customer Data SME
Develop data standards for risk and control content
The Customer Data SME provides senior expertise in Operational Risk and Risk Controls through customer data processing and analysis, ensuring data quality, governance, and strategic utilization. This includes developing data standards, advising on complex data challenges, utilizing and implementing AI solutions, and supporting major customer initiatives within CUBE. The role also mentors junior team members and shapes customer data practices.
Why This Role?
Work alongside bright minds in AI research and engineering developing impactful regulatory compliance solutions
Key Responsibilities
- Match risks and controls for customer data operations
- Build and manage indexes for data expansion
- Apply CUBE's Data Technical Standards to risk and control content
- Support delivery of Data & Analytics team goals through customer data initiatives
- Advise on complex data challenges and implement AI solutions
- Mentor junior team members in customer data practices
Requirements
- Senior expertise in Operational Risk and Risk Controls
- Experience in customer data processing and analysis
- Knowledge of data quality, governance, and strategic utilization
- Ability to develop and apply data standards
- Experience with AI solutions implementation
- Mentoring or team leadership experience
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
Keywords
View Original Description from Ashby Job Boards
Original description from Ashby Job Boards
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.
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Frequently asked questions
- Is Customer Data SME at Cube a remote job?
- This role is based in Remote. See the listing for remote/onsite details.
- What type of employment is Customer Data SME at Cube?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at Cube.
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