openashbyhqgv
Compliance Assurance Manager
Multiverse IO
LocationLondon
WorkplaceHybrid
EmploymentFullTime
Posted2026-04-20T11:59:33.199+00:00
Last observed2026-06-13 05:23:22.669295
Job idgv-multiverse-io:ashbyhq:8bb2b7c0-4722-4013-88bb-776efc1c0ed3
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK’s first EdTech unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. ROLE PURPOSE Your mission is to master the art of the "Mock Audit." You'll operate as a high-level internal consultant, deploying deep-dive scrutiny and advanced data analytics to safeguard our funding. In this role, you aren't just checking boxes — you're a technical architect ensuring that every pound of funding is defended through world-class data integrity and relentless rigour. KEY RESPONSIBILITIES - Funding Scrutiny: Execute a continuous schedule of funding scrutiny, including reporting findings to our Chief Finance Officer and Regulatory Affairs leadership. - Department Auditing: Conduct targeted audits on specific departments or processes to ensure compliance with funding rules. Lead "Mock Audit" simulations, acting as the primary point of contact for internal teams to "prep" their evidence. - Project Management: Lead and support cross-functional improvement projects - Quality Control: Perform deep-dive quality checks on ILR data, Change of Circumstance requests, and Break in Learning evidence. - Feedback Loop: Provide critical feedback based on audit findings. Your insights drive improvement. - Improvement Plans: Drive cross-functional improvements in auditability and evidence collection, ensuring we are always "audit-ready." Serve as a subject matter expert during the design phase of new processes and products, ensuring that "auditability" is built into the workflow from the start. WHAT YOU’LL BRING - Audit Lifecycle Management: Demonstrable experience participating in at least one live financial assurance or compliance audit, or a structured internal mock audit process. Must have a solid understanding of evidence pack requirements for establishing learner and programme eligibility. - Risk Assurance & Strategic Reporting: Able to produce regular reports from complex data into high-level strategic narratives to provide C-Suite and senior leadership with data backed confidence to drive informed, top-down decision making. - Project Management: A proven track record of driving long-term, cross-functional improvement projects. - Data Analysis: Able to transform raw data into actionable insights by leveraging complex formulas, pivot tables, and automated workflows. - Detail Oriented: A forensic eye for detail and experience in auditing and/or quality assurance. - Objectivity: The ability to remain objective and rigorous in checking internal work. Nice to haves - Funding Knowledge: Deep understanding of what constitutes valid evidence for apprenticeship funding (e.g., off-the-job training rules). Ability to interpret guidance and apply it to complex learner journeys. - ILR Technical Knowledge: Strong working knowledge and understanding of the ILR Technical Specification. - PDSAT & Data Integrity: Proven experience running and resolving PDSAT reports. They should be able to explain the "why" behind common error reports (e.g., overlapping dates, missing NIH numbers, or 42-day qualifying period breaches). Benefits - Time off - 27 days holiday, plus 5 additional days off: 1 li
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