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Senior Associate, Control - Data Analytics

Senior Associate, Control - Data Analytics

BNYPittsburgh, PA, US
5 days ago
Job type
  • Full-time
Job description

Job Description

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 and champions of inclusion, 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 Senior Associate Control, Data Analytics to join our Wealth Management 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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  • Learn and master BNY’s enterprise AI platform (Eliza), including agent creation, customization, and deployment across BNY Wealth.

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  • Support the design, development, and maintenance and AI agents that streamline processes, improve employee and client experiences, and enhance internal efficiency.
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  • Collaborate with BNY Wealth team members to identify use cases for AI-driven solutions.
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  • Write, optimize, and maintain SQL queries to extract and manipulate data for reporting, analysis, and AI model development.
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  • Develop scripts and automation using Python to support data pipelines, model testing, and integration of AI solutions.
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  • Provide hands-on training and support to BNY Wealth team members on the effective use of the AI platform (Eliza), including step-by-step guidance on creating and managing agents.
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  • Document AI workflows, best practices, and training materials for non-technical employees.
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  • Stay current on emerging AI technologies and practices and proactively suggest ways to enhance Eliza’s impact across BNY Wealth.
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  • Contribute to the achievement of team objectives and support a range of moderately complex projects and deliverables as needed or required by management, senior / executive leadership, internal business partners, and regulatory agencies.
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    To be successful in this role, we’re seeking the following :

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  • Bachelor’s degree or equivalent combination of education and work experience required
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  • 3-5 years of total work experience preferred
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  • 1-3 years of experience working with SQL and Python in a professional or academic setting.
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  • Experience in the securities or financial services industry is preferred
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  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
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  • Familiarity with artificial intelligence concepts (machine learning, natural language processing, generative AI, etc.) and their application in business environments.
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  • No direct people leadership responsibilities
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    At BNY, our culture speaks for itself, check out the latest BNY news at :

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    BNY Newsroom

    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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    Senior Associate Data • Pittsburgh, PA, US

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