AI-Driven Audit Methodology Partner

IN2 Consult; England; On-site; GBP 250,000 - 450,000; Full time

Job summary

Top 10 UK Firm is seeking an Audit Methodology Partner to lead the firm’s audit methodology, ensuring it is robust, practical and data-driven. You will set technical direction across the practice, embed ISAs and ISQM 1 changes, and govern AI-enabled audit tools for regulator scrutiny.

You will work with partners and teams to drive adoption, shape AI usage in risk assessment and testing, and act as a senior technical voice both internally and with regulators.

Qualifications

• ACA, ACCA or equivalent with deep audit technical background.
• Experience in a methodology, audit quality or professional practice role within a Big 4 or Top 10 firm.
• Strong working knowledge of ISAs (UK), ISQM 1 and the UK regulatory environment.

Responsibilities

• Lead the audit methodology function and set technical direction across the practice.
• Embed changes from new and revised ISAs (UK) and ISQM (UK) 1 into methodology, guidance and tools.
• Shape how AI and data analytics are used in the audit: risk assessment, testing, review and documentation.
• Build governance around AI-enabled audit tools so they stand up to FRC and regulatory scrutiny.
• Use AQR findings, internal inspection and root cause analysis to drive measurable improvements in audit quality.
• Work with engagement leaders, Risk, Quality and Technology teams so methodology is adopted, not just published.
• Act as a senior technical voice internally and with the regulator.

Skills

Leadership

Regulatory awareness

Credibility with partners

Strategic thinking

Education

AC A/ACCA or equivalent

Tools

AI in audit

Job description

Top 10 UK Firm is seeking an Audit Methodology Partner to lead the firm’s audit methodology, ensuring it is robust, practical and data-driven. You will set technical direction across the practice, embed ISAs and ISQM 1 changes, and govern AI-enabled audit tools for regulator scrutiny.

You will work with partners and teams to drive adoption, shape AI usage in risk assessment and testing, and act as a senior technical voice both internally and with regulators.