About the Role:
Position Title : AVP, Data Analytics, Internal Audit
Corporate Title: Associate/Assistant Vice President, Internal Audit
Location: MGS - Bengaluru.
Job Profile:
Position details / Job summary:
The AVP Data Analytics (DA) role within the Internal Audit function is responsible for the end-to-end delivery of data analytics engagements aligned with methodology and QA standards -. Working in close partnership with the regional DA Director, under the oversight of the Global DA Director, the AVP plays a critical role in shaping audit strategies through data-driven testing and effective stakeholder engagement whilst operating with a high degree of autonomy.
Roles and Responsibilities:
- Understand business processes, risks, and controls relevant to audits.
- Design, implement, or execute robust analytics strategies to assess key controls, validate issues, and support continuous monitoring with relative independence.
- Escalate risks or delivery challenges to DA VPs or the DA Director promptly to ensure resolution and minimize impact.
- Support DA VPs in planning and executing analytics activities across assigned audits within the relevant portfolio, ensuring delivery against KPIs and timelines.
- Manage the collection, transformation, and analysis of large datasets, ensuring data quality and integrity through strong governance.
- Drive innovation by identifying opportunities to apply advanced analytics and develop tools that enhance audit effectiveness.
- Ensure timely, accurate documentation of analytics work per QA standards, and help audit teams translate results into impactful insights for business audiences.
- Support audit teams in articulating methodologies and findings to ensure alignment and understanding.
- Monitor progress against milestones, manage competing priorities, and ensure high-quality outputs within deadlines.
- Contribute to continuous improvement of the DA function by mentoring junior team members and supporting broader IA initiatives that foster innovation, collaboration, and excellence.
- Promote the use of data analytics to support the Audit plan.
- Design or deliver tailored analytics use cases and embed them in audit delivery, with support from experienced DA colleagues.
- Build strong, collaborative relationships with auditors, applying analytics expertise and sharing best practices from internal and external sources.
- Identify and create regular opportunities to engage with audit teams, fostering trust, collaboration, and alignment on objectives.
- Partner with audit teams to show how analytics supports audit conclusions and strengthens control of environments.
- Help embed agile practices to boost stakeholder engagement, shorten audit cycles, and improve audit experience.
- Contribute beyond audit, including inclusion & diversity roles, thematic reviews, or integrated assurance initiatives.
- Set clear expectations and uphold high standards of performance and behavior while respecting diverse working styles.
- Taking accountability for delivering quality work in a consistent manner, and by holding other colleagues accountable.
- Provide guidance and feedback to team members, supporting their development and ensuring consistent delivery of high-quality work.
- Promote continuous improvement by identifying opportunities to enhance team processes, tools, and collaboration.
- Contribute to team engagement, celebrating achievements and encouraging participation in initiatives that strengthen team cohesion.
- Show curiosity and initiative, seek feedback, explore ideas, and engage in continuous learning. Demonstrate understanding of business processes.
- Join broader MUFG initiatives, including those promoting equity, inclusion, and belonging, and contribute to IA goals.
- Stay current on industry topics and share insights with the team, auditors, and stakeholders.
- Embrace flexible, hybrid work and meet in-office expectations.
- Uphold MUFG values: Inclusion & Diversity, Speak Up Listen Up, and Own & Execute.
- Communicate effectively to build relationships with team members and stakeholders.
- Build trust by being open to feedback, eager to learn, and supportive of peers.
- Take part in and lead team engagement activities, celebrating achievements.
- To enhance collaboration with stakeholders in the United States (East Coast), team members may be asked to slightly adjust their working hours to improve coverage. This flexibility will be managed in consultation the successful candidate to ensure a balanced and sustainable approach.
Job Requirements:
Education, Licensure, Year of Experience (and type of work experience):
- Degree in Data Science, Computer Science, Artificial Intelligence or Machine Learning, Mathematics or equivalent with work experience or degree in Accounting, Finance, Business Administration, Risk Management with data analytics work experience.
- Relevant audit or technical certifications are desirable. (e.g., Google Data Analytics Professional Certificate, IBM Data Analyst Professional Certificate, Microsoft Certified: Azure Data Scientist Associate, AWS Certified Data Analytics, Tableau Desktop Specialist, Microsoft Certified: Power BI Data Analyst Associate, CIA, CPA, CFSA).
Skills and Experience:
- 6+ years of experience in data analytics, ideally within Financial Services, Internal Audit, or other Risk/Control functions.
- Proven ability to lead and deliver complex analytics projects across the audit lifecycle, including scoping, stakeholder engagement, execution, and results communication.
- Experience managing analysts or peers with full project ownership.
- Strong quantitative skills to interpret complex data, design test strategies, and draw observations that support audit conclusions.
- Experience at developing or using AI products, especially with Generative AI, is desirable.
- Solid understanding of risk and control environments to assess risks and execute effective control testing strategies.
- Proficient in Python or similar programming languages for data analytics.
- Demonstrated technical leadership through reviewing junior colleagues’ work and promoting advanced analytics techniques to enhance team capability.
- Extensive experience with data visualization tools (e.g., Tableau, Power BI) and querying languages like SQL.
- Experience building complex workflows in Alteryx is a plus.
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure, Snowflake) and automation tools (e.g., Power Automate) is a plus.
- Contributions to developing analytics methodologies, or tools are a differentiator.
- Excellent communication skills to explain data concepts to non-technical audiences.
- Strong project management skills with the ability to manage multiple priorities in a matrixed environment.
