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Vice President - AI / ML, Data Science and Analytics

Vice President - AI / ML, Data Science and Analytics

BNYPittsburgh, PA, US
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Job Description

Vice President - AI / ML, Data Science and Analytics

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At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

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Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

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We’re seeking a future team member for the role of Vice President to join our AI, Innovation and Analytics team supporting Internal Audit team. This role is located in Pittsburgh, PA

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In this role, you’ll make an impact in the following ways :

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  • Work with Internal Audit teams and fellow Data Scientists / Analysts to design self-service data products that enable auditors to more efficiently and effectively carry out all phases of audit lifecycle

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  • Support innovation and design of advanced AI and analytical tools for the audit department that extend beyond the scope of duties of Internal Audit
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  • Conceive and conceptualize Data Science, Machine Learning and Gen / Agentic AI solutions to embed rigor and innovation in internal audit activities
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  • Collaborate closely with business teams and internal audit stakeholders to identify opportunities for implementing AI agents / digital employees across diverse business areas
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    To be successful in this role, we’re seeking the following :

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  • 5-7 years’ experience working in Quantitative, Statistical, Data Analytics, Data Science or AI / ML field
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  • Strong foundational knowledge of classical Data Science and Machine Learning models, grounded in first principles thinking to ensure rigor in model development
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  • Gen / Agentic AI :  \n \n
  • Understanding of prompt engineering, retrieval-augmented generation (RAG), and integrating LLMs into real-world workflows.

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  • Core Data Science & Machine Learning Skills : \n \n
  • Hands-on experience with supervised and unsupervised ML techniques, including regression, classification, clustering, decision trees, ensemble methods, etc.

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  • Knowledge of deep learning and deep learning frameworks
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  • Experience with core ML libraries like scikit-learn, XGBoost etc.
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  • Strong Python skills in developing Gen / Agentic AI and Data Science & Machine Learning solutions
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  • Data Wrangling and Visualization : SQL, Tableau / Power BI
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  • Excellent communication and stakeholder engagement skills
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  • Self-Initiator and Thought Leader, who proactively identifies opportunities to apply AI / ML and analytics across audit and business functions; takes ownership of ideas from conception to delivery.
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    At BNY, our culture speaks for itself, check out the latest BNY news at :

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    BNY Newsroom

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    BNY LinkedIn

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    Here’s a few of our recent awards :

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  • America’s Most Innovative Companies, Fortune, 2025
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  • World’s Most Admired Companies, Fortune 2025
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  • “Most Just Companies”, Just Capital and CNBC, 2025
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    Our Benefits and Rewards :

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    BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

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    BNY is an Equal Employment Opportunity / Affirmative Action Employer - Underrepresented racial and ethnic groups / Females / Individuals with Disabilities / Protected Veterans.

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