Internal Audit Data Analyst

Overview

The Internal Audit Data Analyst drives analytics in support of internal audits, advisories and issues validation, and develops data and technology capabilities such as continuous monitoring, automation, and advanced analytics including machine learning, NLP and AI. The role works under limited supervision on confidential and time-sensitive internal audit projects.

What you'll do

• Identify potential internal controls issues through analytics and automation and recommend solutions.
• Liaise with senior management when communicating data analytic results and associated control recommendations.
• Advise senior personnel within Internal Audit and across the company to resolve issues, gain needed information and influence outcomes.
• Manage team performance through regular, timely feedback and the formal performance review process to ensure delivery of exceptional products and engagement, motivation and development of the team.
• Review, develop and document detailed data analytic routines, scripts, queries and procedures that identify potential internal controls issues.
• Partner across IAS and TIAA to brainstorm, define, design and implement analytics and supporting procedures across projects and critical business areas, with emphasis on analytics delivery and quality.
• Manage less complex audit engagements and teams in special projects or implementation of initiatives.
• Contribute to the development of analysis and automation solutions that shape the scoping of complex audits and related reviews.
• Research and resolve difficult transactional issues.
• Integrate with audit teams as an embedded technical specialist to develop and execute advanced testing procedures for complex business processes, AI models and analytics-intensive audits.
• Take responsibility and ownership for the development and execution of testing, including vetting potential exceptions and false positive results and discussing potential issues with business area management.
• Develop repeatable analytics, dashboards, scripts and automated testing routines using tools such as SQL, Python, R, Power BI, Tableau, Excel or similar platforms.
• Design and perform substantive testing procedures leveraging large datasets, automated analytics and statistical sampling techniques.
• Execute audit tests on AI systems and machine learning models, including performance validation, bias testing and control effectiveness assessments.
• Document audit testing procedures, findings and technical conclusions in accordance with audit standards and methodologies.
• Work closely with the IAS innovation function to pilot new tools, including AI tools, and new ways of auditing.
• Network with senior personnel within the business units and across groups to resolve issues, gain needed information and influence outcomes.
• Participate in discussions with senior management related to data acquisition and management reporting.
• Participate in defining data analytics, AI and model testing standards for the organization.
• Contribute to decisions and projects that have a moderate to high impact on the organization.

What you'll need

• Experience in data acquisition (ETL, ELT), data management (cataloging, ensuring quality, profiling), data analysis, Business Intelligence and advanced analytics (AI/ML/RPA).
• Employ multiple analysis and automation tools (e.g. Python, Snowflake, SQL, SSIS, Tableau, Power BI, RPA tools such as Selenium, Power Automate, DataStage, and APIs) and audit methods, techniques and approaches for obtaining optimal results.
• Strong proficiency with data analytics tools and techniques, including SQL, Python, R, SAS, Excel, Tableau, Power BI, or similar data extraction, analysis and visualization platforms.
• Experience working with large datasets, identifying data quality issues, performing reconciliations, developing exception reports and communicating analytics results to audit and business stakeholders.
• Bachelor's degree in information systems, Information Technology, Computer Science, Accounting, Finance or other related discipline.
• Ability to collaborate effectively with diverse audit teams and business area management.
• Strong understanding of financial products, risk management and regulatory requirements.
• Familiarity with audit management systems and documentation standards.
• Complete one of CPA, CA, CFE, CIA or CISA certifications within 18 months of joining Internal Audit Services.

Nice to have

• 1+ years of work experience (preferred).
• 3+ years in Internal Audit or Risk Management with advanced analytics and/or AI/ML model audit experience.
• Master's degree in a quantitative field such as Data Analytics, Computer Science, Statistics, Mathematics, Engineering, Finance or Economics.
• Desired basic knowledge of the Institute of Internal Auditors' (IIA) International Professional Practices Framework (IPPF).
• Professional certifications (CIA, CISA, CPA, CFA, FRM).

Details

• Location: Mumbai, India.
• Physical requirements: sedentary work.
• Career level: 7IC.
• Related skills: adaptability, auditing, audit process improvement, communication, critical thinking, data analysis, problem solving, relationship management, technology systems.