5 дней назад
Head of Internal Audit Innovation Strategy (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Internal Audit Innovation Strategy (AI) (AI, data analytics, internal audit): Leading the design and institutionalization of AI, advanced analytics, automated testing, and continuous monitoring across a global Internal Audit department with an accent on Generative AI, Agentic AI, data platforms, and audit automation. Focus on building scalable analytics products, auditing AI governance, integrating data pipelines, and leading innovation specialists through digital transformation.
Location: New York, NY, United States; office-based role
Company
is a global investment banking, securities, and investment management firm founded in 1869, headquartered in New York with offices worldwide.
What you will do
- Define and execute a multi-year digital strategy for Internal Audit covering Generative AI, Agentic AI, LLMs, machine learning, and robotic process automation.
- Identify, prioritize, and manage innovation use cases across audit planning, risk assessment, field testing, continuous monitoring, and reporting.
- Oversee scalable analytics products, dashboards, automated risk monitoring tools, data pipelines, and integrations across legacy architectures.
- Embed risk analytics and continuous auditing techniques into business, technology, and capital markets audit plans.
- Establish methodologies and control frameworks for auditing AI systems, algorithms, data governance, bias, drift, and regulatory compliance.
- Lead enablement programs, stakeholder communications, regulatory engagement, and a global team of analytics and innovation specialists.
Requirements
- 8–12+ years of progressive leadership experience in Internal Audit, Technology Audit, Risk Analytics, or Technology Consulting, ideally in financial services or investment banking.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Finance, Accounting, or a related quantitative field.
- Hands-on experience or strategic oversight of Generative AI, LLM prompting or fine-tuning, Agentic workflows, and machine learning or predictive modeling.
- Strong proficiency in SQL, Python or R, Tableau or Power BI, and data preparation tools such as Alteryx and Snowflake.
- Deep understanding of internal audit methodologies, COSO, risk assessment, and financial-services regulatory expectations.
- Proven experience leading matrixed digital transformation projects, managing data teams, and presenting to senior executive committees.
Nice to have
- CISA, CIA, ACCA, CPA, or relevant data and AI technical certifications.
Culture & Benefits
- Training and development opportunities and firmwide professional networks.
- Benefits, wellness, personal finance offerings, and mindfulness programs.
- Commitment to diversity, inclusion, equal opportunity, and reasonable recruiting accommodations.
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