At a Glance
- Tasks: Lead customer data operations and mentor junior team members in a fast-paced environment.
- Company: Join CUBE, a global leader in RegTech, transforming compliance with innovative AI solutions.
- Benefits: Enjoy a dynamic culture, competitive salary, and opportunities for personal and professional growth.
- Other info: Be part of a diverse team dedicated to innovation and excellence in regulatory technology.
- Why this job: Make a real impact in regulatory compliance while working with cutting-edge technology and talented teams.
- Qualifications: Experience in risk and controls within financial services, strong data analysis skills, and leadership abilities.
The predicted salary is between 60000 - 80000 £ per year.
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.
Customer Data SME in London employer: CUBE
CUBE is an exceptional employer that champions a dynamic and inclusive work culture, where innovation and collaboration are at the forefront. With a commitment to employee growth, CUBE offers robust mentorship opportunities and encourages team members to take ownership of their careers in a fast-paced RegTech environment. Located globally, CUBE provides the unique advantage of working alongside industry leaders in AI and regulatory technology, making a meaningful impact on the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data SME in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like CUBE. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Customer Data SME in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to CUBE.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on CUBE's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at CUBE
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with CUBE.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at CUBE will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former CUBE employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.