Assistant Vice President – Audit Execution Analytics

About the job

Do you want your voice heard and your actions to count? Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world. With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. Job Profile Position details / Job summary: The Assistant Vice President (AVP) – Audit Execution Analytics is responsible for designing and executing advanced data analytics in support of assurance activities within Global Internal Audit – Americas. This role partners closely with audit teams to enhance risk identification, evaluate control effectiveness, and promote data-driven audit execution. Roles And Responsibilities: • Design, develop, and execute data analytics strategies to support audit activities using tools such as SQL, Python, Tableau, and the Microsoft Power Platform. • Support end-to-end audit engagements by identifying risks and assessing control effectiveness through advanced analytics techniques. • Collaborate with management and business partners to identify relevant data sources and key data elements; validate data completeness and accuracy for audit testing. • Query, analyze, and interpret data from multiple source systems to identify trends, anomalies, and potential control weaknesses. • Develop, maintain, and enhance Tableau and Power BI dashboards to provide accurate, timely, and actionable insights to audit stakeholders. • Document analytics work thoroughly and timely in accordance with Internal Audit methodology and standards. • Communicate analytics results effectively to audit teams and business partners; prepare and present summaries and insights to senior management. • Champion a data-driven culture within Internal Audit by identifying opportunities to increase audit coverage, depth, and efficiency through analytics. • Comply with the firm’s hybrid work model and associated in-office expectations. Job Requirements: Education, Licensure, Year of Experience (and type of work experience): • Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Mathematics, or a related field; or a degree in Accounting, Finance, Business Administration, or Risk Management with relevant data analytics experience. • Professional certifications related to data analytics, data science and/or audit are preferred, such as Google Data Analytics Professional Certificate, IBM Data Analyst Professional Certificate, Microsoft Certified: Power BI Data Analyst Associate, Tableau Desktop Specialist, AWS Certified Data Analytics, Azure Data Scientist Associate, Alteryx Designer Core Certification, CIA, CISA, CPA, or CFSA. Skills and Experience: • Minimum of 6 years of experience in data analytics, preferably within Financial Services, Internal Audit, or other risk and control functions. • Strong experience with data visualization tools (e.g., Tableau, Power BI) and data querying languages such as SQL. • Proficiency in Python for data analysis and automation. • Demonstrated ability to deliver analytics solutions across the audit lifecycle, including scoping, testing, documentation, and reporting. • Strong quantitative and analytical skills to interpret complex data and support audit conclusions. • Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences. • Strong project management capabilities with the ability to manage multiple priorities effectively. • Experience with Alteryx workflow development is a plus. • Experience developing or leveraging artificial intelligence solutions, particularly Generative AI, is desirable. • Exposure to predictive analytics, machine learning, cloud platforms, or automation tools is beneficial. • Overall 9+ years experience.