VP, Data Analytics Audit

• Lead the delivery of audit analytics initiatives supporting audit planning, fieldwork, continuous monitoring, and management reporting.
• Design, develop, and maintain data analytics solutions that improve testing coverage and identify control weaknesses, anomalies, and emerging risks.
• Drive consistency in analytics execution by establishing methodologies, standards, reusable tools, and best practices.
• Collaborate with technology and business teams to source, transform, and validate data required for audit activities.
• Develop automated audit testing and monitoring capabilities to enhance audit effectiveness and efficiency.
• Coach and mentor analytics team members while overseeing project execution, quality assurance, and stakeholder communication.

Review MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.

MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.

Join a IA analytics function expanding the use of data-driven audits.Gain exposure to senior leadership and emerging technologies.

A successful VP, Data Analytics Audit should have:

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Accounting, Finance, Mathematics, or a related discipline.
• Experience in internal audit, risk management, regulatory oversight, data analytics, or a related financial services environment.
• Advanced experience with SQL, Python, data visualization platforms (Power BI, Tableau, Qlik), and enterprise database technologies.
• Azure (heavy exp in the last 2-3 years including data factory, databricks, openAI), Python, Cloud, and ETL
• Nice to have is experience with VNET, Application Insights understanding on Azure
• Strong understanding of internal controls, audit methodologies, risk assessment, and analytics-enabled testing techniques.
• Experience within banking, capital markets, treasury, finance, or enterprise risk environments.
• Proven leadership, stakeholder management, and project delivery skills, with the ability to manage multiple priorities and develop high-performing teams.

A global financial institution with a significant international presence, recognized for delivering banking and capital markets services while maintaining a strong focus on risk management, governance, and innovation.

• Permanent position based in New York City
• Hybrid work model
• Strong work-life balance
• Salary range of $150,000 to $215,000.
• Standard benefit package

Interested? Apply today.