Nuveen India | Internal Audit Data Analyst

Responsibilities

• The individual will also support on confidential and time sensitive internal audit and related projects.
• Under limited supervision, this job identifies potential internal controls issues through analytics and automation pertaining to the project area and recommends solutions.
• Emphasis on analytics delivery and quality, responsible for partnering across IAS and TIAA to brainstorm, define, design and implement analytics and supporting procedures across projects and critical business areas.
• Liaises with senior management when communicating data analytic results and associated control recommendations.
• Advises senior personnel within Internal Audit and across the company resolve issues, gain needed information and influence outcomes.
• Manages performance of team through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional products and engagement, motivation, and development of team.
• Reviews, develops and documents detailed data analytic routines, scripts, queries, and procedures that identify potential internal controls issues and recommends solutions.
• Manages less complex audit engagements and teams in special projects or implementation of initiatives.
• Contributes to the development of analysis and automation solutions which shape the scoping of complex audits and related reviews.
• Researches and resolves difficult transactional issues.
• 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.
• Work closely with the IAS innovation function to pilot new tools (including AI tools) and ways of auditing.
• Integrate with audit teams on individual audit engagements 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 the vetting of potential exceptions and false positive results and discussion of potential issues with business area management.
• Document audit testing procedures, findings, and technical conclusions in accordance with audit standards and methodologies.
• Participate in discussions with senior management related to data acquisition and management reporting.
• Participates in defining data analytics, AI and Model testing standards for the organization.
• Contributes to decisions and projects that have a moderate to high impact to the organization.
• Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.

Requirements

• 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.
• Master’s degree in quantitative filed such as Data Analytics, Computer Science, Statistics, Mathematics, Engineering, Statistics, Mathematics, Engineering, Finance, or Economics preferred.
• Proficiency with data analytics tools (Python, R, SQL, SAS, Tableau, Power BI).
• 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.
• Candidate is required to complete one of CPA, CA, CFE, CIA or CISA certifications within 18 months of joining Internal Audit Services.
• Experience in data acquisition (i.e. ETL, ELT), data management (cataloging, ensure quality, profiling), data analysis, Business Intelligence and advanced analytics (AI/ML/RPA)
• Bachelor’s degree in information systems, Information Technology, Computer Science, Accounting, Finance or other related discipline required.
• 3+ years in Internal Audit or Risk Management with advanced analytics and/or AI/ML model audit experience

Nuveen

Nuveen traces its origin to 1898, when John Nuveen Sr. founded John Nuveen and Company in Chicago, an investment banking firm specialising in municipal bonds. It later grew into a broad investment manager offering mutual funds, closed-end funds, private equity, real estate and separately managed accounts, with particular strength in fixed income and municipal bonds. Madison Dearborn Partners owned it from 2007 to 2014, after which it became part of TIAA, which remains its parent. Today it has major offices in Chicago, New York and Charlotte.

Its openings in India have been in Mumbai and Pune, covering compliance, global payroll, accounting, internal audit data analytics and treasury at analyst and associate level.

• Industry: Investment management: fixed income, municipal bonds, real estate, private markets and other strategies; asset manager of TIAA
• Headquarters: United States, with major offices in Chicago, New York and Charlotte (wholly owned by TIAA)
• In India: Teams in Mumbai and Pune supporting the firm's global functions