VP - Data Analytics (Internal Audit)

Key Responsibilities

Analytics Strategy & Execution: Design, develop, and execute data analytics strategies across the audit lifecycle (scoping, testing, documentation, and reporting) using SQL, Python, Tableau, and Microsoft Power Platform.

Audit Assurance & Risk Identification: Support end-to-end audit engagements by querying, analyzing, and interpreting data from complex systems to detect trends, anomalies, and control weaknesses.

Dashboarding & Insights: Develop, maintain, and enhance Tableau and Power BI dashboards to deliver actionable insights to audit stakeholders and senior leadership.

Data Validation & Collaboration: Partner with management and business teams to identify data sources, define key data elements, and validate data completeness and accuracy for audit testing.

Reporting & Stakeholder Management: Prepare and present analytics summaries and insights to audit teams, business partners, and senior management.

Methodology & Standards: Document all analytics work thoroughly and on time in accordance with Internal Audit methodology and professional standards.

Culture Champion: Drive a data-driven mindset within Internal Audit to expand audit coverage, depth, and operational efficiency.

Hybrid Work Compliance: Adhere to the firm's hybrid work model and associated in-office requirements.

Eligibility & Candidate Profile

Experience & Background

Total Experience: 12+ years of overall professional experience.

Relevant Analytics Experience: Minimum 6 years of hands-on data analytics experience, preferably within Financial Services, Internal Audit, or risk/control functions.

Domain Requirement: 3rd line Internal Audit experience is mandatory.

Education

Bachelors 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.

Technical Stack & Skills

Languages & Querying: Proficiency in SQL and Python for data analysis, querying, and automation.

Visualization & Reporting: Hands-on expertise in Tableau and Power BI dashboard development.

Platforms: Experience with Microsoft Power Platform.

Plus / Desirable Skills:

Experience developing or leveraging Artificial Intelligence / Generative AI solutions.

Workflow automation using Alteryx.

Exposure to predictive analytics, machine learning models, cloud platforms, or automation tools.