Business Audit Director – Internal Audit | Business Audit | Financial Services

Posted 42 minutes ago
$170K - $219K / year

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Job Description

Business Audit Director | Mitsubishi UFJ Financial Group

The Tone:
This is a full-time, hybrid role at Mitsubishi UFJ Financial Group (MUFG), with four days on-site at an MUFG office or client site and one day remote, located in the USA. MUFG, one of the world’s leading financial groups, strives to make a difference for clients, organizations, and communities globally. This position is vital for leading internal audit coverage, ensuring independent challenge and strategic guidance to senior stakeholders, and upholding the effectiveness of controls within key business areas. The Business Audit Director will contribute to MUFG’s vision of being the world’s most trusted financial group by fostering trust through robust risk management and compliance.

The TL;DR
• Role: Full Time
• Type: Hybrid
• Location: Hybrid – USA
• Pay: $170000–$219000 yearly
• Team: Internal Audit | Business Audit | Financial Services
• Mission: Lead internal audit coverage across assigned lines of business, products, strategies, and risk areas, with specialized focus on Credit Risk, Global Corporate & Investment Banking, and Japanese Corporate Banking, ensuring audit quality and regulatory compliance.
• Tech Stack: Power BI, Tableau, Python, machine learning, business intelligence tools, computer-assisted audit techniques, data visualization and reporting solutions

What You’ll Actually Do
• Portfolio Leadership: Lead internal audit coverage across assigned business lines, products, strategies, internal controls, and risk areas, including Credit Risk, Global Corporate & Investment Banking (GCIB), and Japanese Corporate Banking (JCB), while dynamically managing the audit plan based on evolving risks.
• Credit Risk Expertise: Serve as a subject matter expert for wholesale Credit Risk Management across GCIB, JCB, and related second-line Credit Risk Management functions, providing independent assurance over the effectiveness of the Credit Risk Management Framework.
• Audit Delivery and Management: Oversee internal audit engagements, ensuring the team assesses control effectiveness, accuracy of financial records, operational efficiency, and regulatory compliance, while meeting KPIs and quality standards.
• Stakeholder Engagement: Develop and maintain constructive, collaborative relationships with senior stakeholders, providing effective challenge, guidance, and an independent perspective while communicating audit plans, key risks, and remediation progress.
• Process Innovation and Leadership: Drive innovation in audit execution, continuous auditing, and data analytics, supporting the long-term vision for Internal Audit, and lead, develop, and coach high-performing audit talent.

The Must-Haves
• Background: Leadership experience in internal audit, external audit, or risk management, coupled with extensive experience in the financial services industry, related markets, and applicable regulatory bodies. A degree in Accounting, Finance, Business Administration, or a related business discipline is required.
• Experience: Proven success implementing continuous auditing and/or risk monitoring processes. Demonstrated experience using data visualization and reporting solutions, including Power BI, Tableau, or comparable business intelligence tools.
• Skills: Advanced knowledge of risk assessment, audit methodology, audit execution, and issue validation. Strong supervisory and project management skills within internal audit functions. Ability to apply data analysis methodologies and tools to improve the efficiency, coverage, and effectiveness of audit processes. Demonstrated ability to drive analytics innovation, credibly challenge management, and proactively influence risk and control environments.
• Bonus: An advanced degree is desirable. Professional auditing certifications such as CIA, CPA, CISA, or CFSA are preferred. Data Analyst, Tableau, Power BI, or similar analytics certification is highly desirable. Experience with Big Data, Python, machine learning, and advanced analytics techniques.

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