Internal Audit Manager (AI)

TL;DR

Internal Audit Manager (AI): Delivery of enterprise-wide internal audit programs and risk-based audits across financial, operational, and IT domains with an accent on internal controls and governance. Focus on identifying control weaknesses, maintaining the enterprise risk register, and ensuring compliance within a high-growth GPU cloud environment.

Location: Based in London, UK

Company

Nscale is a GPU cloud provider engineered for AI, offering high-performance infrastructure for startups and large enterprises to reduce the complexity of AI development.

What you will do

• Plan and execute risk-based audits across financial, operational, compliance, and IT domains, from scoping through reporting.
• Lead fieldwork, including walkthroughs, documentation reviews, and testing of control design and operating effectiveness.
• Support the group-wide risk management framework and maintain the enterprise risk register.
• Design and test internal controls, aligning practices with SOX-style principles and regulatory requirements.
• Conduct IT general controls (ITGC) reviews covering access management, change management, and IT operations.
• Partner with stakeholders in Finance, IT, and Legal to embed a robust governance and controls culture.

Requirements

• 6–10 years of experience in internal audit, external audit, risk management, or controls.
• Bachelor’s degree in Accounting, Finance, Business, Information Technology, or a related discipline.
• Professional qualification such as ACA, ACCA, CIA, or CISA (held or actively working towards).
• Deep understanding of IIA standards and the COSO Internal Control Framework.
• Working knowledge of ITGCs and familiarity with frameworks such as COBIT.
• Must be based in the UK.

Nice to have

• Exposure to SOC 2 Type II, ISO 27001, or Cyber Essentials Plus.
• Experience with ERM frameworks like ISO 31000 or NIST RMF.
• Background in AI infrastructure, cloud platforms, or GRC platforms such as Workiva or Vanta.

Culture & Benefits

• Culture of relentless innovation, ownership, and accountability.
• Environment emphasizing openness, transparency, and professional excellence.
• Opportunity to contribute to the technology powering the future of AI.
• Commitment to equal opportunities and an inclusive workplace.