VP - Data Analytics Auditor

Hw3 Llc; New York (NY); In loco; USD 170.000 - 250.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work schedule

Competitive compensation

Descrizione del lavoro

HWThree, a leading financial services partner, seeks a VP Data Analytics Audit to lead analytics-enabled control testing within Internal Audit. This individual contributor role demands extensive auditing experience in data analytics across banking and capital markets.

You will drive analytics program execution, develop scalable analytics solutions, and advise audit teams on data sourcing and interpretation, while collaborating with Technology and Business teams.

Competenze

• 10+ years of experience in Internal Audit, External Audit, Regulatory Examination, or related function within financial services.
• Strong knowledge of data extraction, transformation, analytics, and visualization tools (SQL, Python, PySpark, Power BI, Tableau).
• Experience with databases and data platforms (Oracle, SQL Server, Azure SQL, Snowflake, Databricks).
• Experience with cloud data, ETL, and data integration technologies (Azure Data Factory, Airflow, SSIS).
• Experience in banking, capital markets, treasury, risk management, or related areas with risk/control understanding.

Mansioni

• Lead execution of the Internal Audit Data Analytics program across audit execution, continuous monitoring, and reporting.
• Translate strategic objectives into actionable analytics plans, deliverables, and timelines.
• Design, develop, and maintain audit analytics routines for planning, execution, and management reporting.
• Expand full-population testing, anomaly detection, trend analysis, and data-driven control testing.
• Establish standardized analytics methodologies, assets, and playbooks aligned with IA standards.
• Oversee data extraction, transformation, and preparation with Technology and Business teams.
• Manage analytics infrastructure, tools, and ensure scalable, well-documented solutions.
• Develop automated testing and continuous monitoring to improve efficiency and coverage.
• Serve as analytics advisor to audit teams and stakeholders on data sourcing and interpretation.
• Lead complex analytics projects including regulatory-driven initiatives and cross-audit programs.
• Track analytics adoption and reporting for IA leadership; support dashboards.
• Mentor and develop junior Data Analytics staff with performance management.

Conoscenze

SQL

Python

PySpark

Power BI

Tableau

Formazione

Bachelor's degree in Business, Mathematics, Computer Science or related field

MBA / CPA / CIA / CISA / CFE preferred

Strumenti

SparkSQL

Azure SQL / Snowflake / Databricks

Azure Data Factory / Airflow

Descrizione del lavoro

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 Responsibilities

• Lead the execution of the Internal Audit Data Analytics program across audit execution, continuous monitoring, and departmental reporting
• Translate strategic objectives into actionable analytics plans, deliverables, and timelines
• Design, develop, and maintain audit analytics routines supporting audit planning, execution, continuous auditing, and management reporting
• Expand the use of full-population testing, anomaly detection, trend analysis, and data-driven control testing to improve audit coverage and effectiveness
• Establish standardized analytics methodologies, reusable assets, and execution playbooks aligned with Internal Audit standards and regulatory expectations
• Oversee data extraction, transformation, and preparation, partnering with Technology and Business teams to ensure reliable and well-controlled data inputs
• Manage and enhance analytics infrastructure and tools, ensuring solutions are scalable, documented, and fit for audit purposes
• Develop automated testing and continuous monitoring solutions to improve audit efficiency, coverage, and timeliness
• Serve as a key analytics advisor to audit teams and business stakeholders, supporting data sourcing, interpretation of results, and integration of analytics into audit programs
• Lead complex analytics initiatives, regulatory-driven projects, enterprise data efforts, and cross-audit analytics programs
• Track and report on analytics adoption, effectiveness, and efficiency, including management dashboards and reporting for Internal Audit leadership
• Lead, coach, and develop junior Data Analytics staff, including work allocation, performance management, quality review, and professional development

Key Requirements

• 10+ years of experience in Internal Audit, External Audit, Regulatory Examination, Risk Management, or a related function within financial services
• Strong knowledge of data extraction, transformation, analytics, and visualization tools, including SQL, Python, PySpark, SparkSQL, Power BI, Tableau, or similar technologies
• Experience with databases and data platforms such as Oracle, SQL Server, Azure SQL, Snowflake, Sybase, Databricks, or similar environments
• Experience with cloud data, ETL, and data integration technologies such as Azure Data Factory, ADLS, Airflow, SSIS, or related platforms
• Experience implementing and operating continuous auditing and monitoring programs, including automated recurring tests and exception reporting
• Experience within banking, capital markets, treasury, risk management, finance, or related financial services functions, with a strong understanding of risks and controls
• Strong communication skills, with the ability to translate technical analytics findings for auditors, management, and non-technical stakeholders
• Strong project management and execution skills, with the ability to manage multiple priorities and deliver within established timelines
• Foundational knowledge of AI, machine learning, generative AI, and automation, with experience applying these technologies within audit, risk, or analytics preferred
• Bachelor’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 preferred

Our client offers a hybrid work schedule, competitive compensation, and a comprehensive benefits package.