VP, Internal Audit & Data Analytics

Atlas Search; New York (NY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

Global Bank in New York, NY seeks a Vice President, Internal Audit Data Analytics to lead its Americas analytics program. You will build analytics routines, perform continuous monitoring, and report coverage expansion across U.S. operations, including broker-dealer and derivatives businesses.

You’ll supervise a team, translate strategic analytics into actionable plans, and partner with Technology to ensure reliable data and repeatable playbooks for audits.

Qualifications

• Bachelor's degree in accounting, business or a related field.
• 8+ years in internal audit, IT audit, external audit, regulatory examination, or risk management within financial services.
• Hands-on audit data analytics experience: full-population testing, anomaly detection, trend analysis, and analytics-enabled control testing.
• Demonstrated ability to integrate analytics into workpapers and conclusions and explain results to non-technical stakeholders.
• Knowledge of risks and controls in banking and capital markets including credit, market, liquidity, operational, and treasury risk.
• Experience leading teams or workstreams, including reviewing work quality and coaching staff.
• Strong written and verbal communication, with the ability to explain analytics results to auditors, management, and non-technical stakeholders.

Responsibilities

• Lead day-to-day execution of the internal audit data analytics program.
• Design, build, and maintain analytics routines supporting audit planning, fieldwork, and continuous auditing.
• Develop automated testing and continuous monitoring solutions with recurring tests and exception reporting.
• Oversee data extraction, transformation, and preparation with Technology and business teams.
• Establish standard methodologies and reusable analytics assets for consistent application across audits.
• Manage analytics infrastructure and tools used by the audit team.
• Serve as primary analytics contact for data sourcing, interpretation, and integration into audit programs.
• Provide technical review of analytics-supported testing and conclusions on control design and effectiveness.
• Lead complex analytics initiatives including regulatory-driven and cross-audit projects.
• Track program metrics and prepare dashboards and narratives for Internal Audit leadership.
• Direct, coach, and develop junior analytics staff.

Skills

Full-population testing

Anomaly detection

Trend analysis

Analytics-enabled testing

SQL

Python

PySpark

SparkSQL

Data extraction/ETL

Leadership

Communication

Education

Bachelor's degree

Tools

Azure Data Factory

ADLS

Databricks

Airflow

SSIS

Job scheduling/automation tools

Job description

A global bank is seeking a Vice President, Internal Audit Data Analytics to lead execution of its Americas internal audit analytics program. Reporting to the Head of Data Analytics, you'll build and run the analytics routines, continuous monitoring, and reporting that expand audit coverage across the bank's U.S. operations, including its broker-dealer and derivatives businesses. This is a hands‑on leadership role for an auditor who can write the query, review the workpaper, and explain the result to a non-technical audit team.

What You'll Do

• Lead day-to-day execution of the internal audit data analytics program, translating strategic objectives into plans, deliverables, and timelines
• Design, build, and maintain analytics routines supporting audit planning, fieldwork, and continuous auditing, including full-population testing, outlier and anomaly detection, and trend analysis
• Develop automated testing and continuous monitoring solutions, including recurring tests and exception reporting
• Oversee data extraction, transformation, and preparation, partnering with Technology and business teams to obtain reliable, well-controlled data
• Establish standard methodologies, reusable analytics assets, and playbooks so analytics are applied consistently across audits
• Manage and enhance the analytics infrastructure and tools used by the audit team
• Serve as the primary analytics contact for audit teams and business partners on data sourcing, interpretation of results, and integration of analytics into audit programs
• Provide technical review of analytics-supported testing, including workpapers, methodologies, results, and conclusions on control design and operating effectiveness
• Lead complex analytics initiatives, including regulatory‑driven, enterprise data, and cross‑audit projects
• Track program metrics and prepare management dashboards and narratives for Internal Audit leadership
• Direct, coach, and develop junior analytics staff

What We're Looking For

• Bachelor's degree in accounting, business, mathematics, computer science, MIS, or a related field
• 8+ years in internal audit, IT audit, external audit, regulatory examination, or risk management within financial services
• Hands‑on audit data analytics experience: full-population testing, anomaly detection, trend analysis, and analytics‑enabled control testing
• Demonstrated experience across database, analytics, and reporting tools such as:
• Analytics: SQL, Python, PySpark, SparkSQL
• Experience implementing or operating continuous auditing and monitoring programs
• Solid understanding of audit methodology, internal controls, and documentation standards, with the ability to integrate analytics into workpapers and conclusions
• Knowledge of risks and controls in banking and capital markets, including credit, market, liquidity, operational, and treasury risk
• Experience leading teams or workstreams, including reviewing work quality and coaching staff
• Strong written and verbal communication, with the ability to explain analytics results to auditors, management, and non-technical stakeholders

Preferred

• CPA, CIA, CISA, CFE, MBA, or equivalent advanced degree or certification
• Financial services audit background from either public accounting or an in‑house bank or broker‑dealer audit function
• Data integration/ETL experience: Azure Data Factory, ADLS, Databricks, Airflow, SSIS, and job scheduling/automation tools
• Exposure to machine learning, generative AI, or automation and how they can be applied within internal audit; piloting these in an audit, risk, or analytics context is a plus

The Environment

The U.S. operations of a global banking group, with an independent internal audit function that is part of a worldwide audit organization. Based in New York, NY on a hybrid in‑office schedule.