HWThree is partnered with a leading financial services firm seeking a VP Data Analytics Audit professional to join its Internal Audit function, focusing on analytics-enabled control testing across financial services and capital markets.This is an individual cobtributor role with no direct reports. Candidates MUST have prior auditing experience within data analytics. You will not be considered without this. Key ResponsibilitiesLead the execution of the Internal Audit Data Analytics program across audit execution, continuous monitoring, and departmental reportingTranslate strategic objectives into actionable analytics plans, deliverables, and timelinesDesign, develop, and maintain audit analytics routines supporting audit planning, execution, continuous auditing, and management reportingExpand the use of full-population testing, anomaly detection, trend analysis, and data-driven control testing to improve audit coverage and effectivenessEstablish standardized analytics methodologies, reusable assets, and execution playbooks aligned with Internal Audit standards and regulatory expectationsOversee data extraction, transformation, and preparation, partnering with Technology and Business teams to ensure reliable and well-controlled data inputsManage and enhance analytics infrastructure and tools, ensuring solutions are scalable, documented, and fit for audit purposesDevelop automated testing and continuous monitoring solutions to improve audit efficiency, coverage, and timelinessServe as a key analytics advisor to audit teams and business stakeholders, supporting data sourcing, interpretation of results, and integration of analytics into audit programsLead complex analytics initiatives, regulatory-driven projects, enterprise data efforts, and cross-audit analytics programsTrack and report on analytics adoption, effectiveness, and efficiency, including management dashboards and reporting for Internal Audit leadershipLead, coach, and develop junior Data Analytics staff, including work allocation, performance management, quality review, and professional developmentKey Requirements10+ years of experience in Internal Audit, External Audit, Regulatory Examination, Risk Management, or a related function within financial servicesStrong knowledge of data extraction, transformation, analytics, and visualization tools, including SQL, Python, PySpark, SparkSQL, Power BI, Tableau, or similar technologiesExperience with databases and data platforms such as Oracle, SQL Server, Azure SQL, Snowflake, Sybase, Databricks, or similar environmentsExperience with cloud data, ETL, and data integration technologies such as Azure Data Factory, ADLS, Airflow, SSIS, or related platformsExperience implementing and operating continuous auditing and monitoring programs, including automated recurring tests and exception reportingExperience within banking, capital markets, treasury, risk management, finance, or related financial services functions, with a strong understanding of risks and controlsStrong communication skills, with the ability to translate technical analytics findings for auditors, management, and non-technical stakeholdersStrong project management and execution skills, with the ability to manage multiple priorities and deliver within established timelinesFoundational knowledge of AI, machine learning, generative AI, and automation, with experience applying these technologies within audit, risk, or analytics preferredBachelor’s degree in Business, Mathematics, Computer Science, Information Systems, or a related field; advanced degree or professional certification such as MBA, CPA, CIA, CISA, or CFE preferredOur client offers a hybrid work schedule, competitive compensation, and a comprehensive benefits package.Interested? Please reach out directly for additional details.
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HWThree is partnered with a leading financial services firm seeking a VP Data Analytics Audit professional to join its Internal Audit function, focusing on analytics-enabled control testing across financial services and capital markets.This is an individual cobtributor role with no direct reports. Candidates MUST have prior auditing experience within data analytics. You will not be considered without this. Key ResponsibilitiesLead the execution of the Internal Audit Data Analytics program across audit execution, continuous monitoring, and departmental reportingTranslate strategic objectives into actionable analytics plans, deliverables, and timelinesDesign, develop, and maintain audit analytics routines supporting audit planning, execution, continuous auditing, and management reportingExpand the use of full-population testing, anomaly detection, trend analysis, and data-driven control testing to improve audit coverage and effectivenessEstablish standardized analytics methodologies, reusable assets, and execution playbooks aligned with Internal Audit standards and regulatory expectationsOversee data extraction, transformation, and preparation, partnering with Technology and Business teams to ensure reliable and well-controlled data inputsManage and enhance analytics infrastructure and tools, ensuring solutions are scalable, documented, and fit for audit purposesDevelop automated testing and continuous monitoring solutions to improve audit efficiency, coverage, and timelinessServe as a key analytics advisor to audit teams and business stakeholders, supporting data sourcing, interpretation of results, and integration of analytics into audit programsLead complex analytics initiatives, regulatory-driven projects, enterprise data efforts, and cross-audit analytics programsTrack and report on analytics adoption, effectiveness, and efficiency, including management dashboards and reporting for Internal Audit leadershipLead, coach, and develop junior Data Analytics staff, including work allocation, performance management, quality review, and professional developmentKey Requirements10+ years of experience in Internal Audit, External Audit, Regulatory Examination, Risk Management, or a related function within financial servicesStrong knowledge of data extraction, transformation, analytics, and visualization tools, including SQL, Python, PySpark, SparkSQL, Power BI, Tableau, or similar technologiesExperience with databases and data platforms such as Oracle, SQL Server, Azure SQL, Snowflake, Sybase, Databricks, or similar environmentsExperience with cloud data, ETL, and data integration technologies such as Azure Data Factory, ADLS, Airflow, SSIS, or related platformsExperience implementing and operating continuous auditing and monitoring programs, including automated recurring tests and exception reportingExperience within banking, capital markets, treasury, risk management, finance, or related financial services functions, with a strong understanding of risks and controlsStrong communication skills, with the ability to translate technical analytics findings for auditors, management, and non-technical stakeholdersStrong project management and execution skills, with the ability to manage multiple priorities and deliver within established timelinesFoundational knowledge of AI, machine learning, generative AI, and automation, with experience applying these technologies within audit, risk, or analytics preferredBachelor’s degree in Business, Mathematics, Computer Science, Information Systems, or a related field; advanced degree or professional certification such as MBA, CPA, CIA, CISA, or CFE preferredOur client offers a hybrid work schedule, competitive compensation, and a comprehensive benefits package.Interested? Please reach out directly for additional details.
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