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Supports risk and compliance teams by analyzing information, identifying trends, assisting with governance reviews, reporting, documentation, control monitoring, and responsible AI oversight. The intern gains exposure to credit, market, liquidity, operational, technology, compliance, model, AI, and enterprise risk while developing analytical, communication, critical-thinking, and risk-management skills through a 10-week program.

Supports BNY’s Client Coverage teams through client, industry, and market research; presentation and talking-point development; account planning; pipeline tracking; opportunity analysis; and cross-functional collaboration. The internship provides exposure to client engagement, business development, relationship management, sales support, and strategic planning while developing communication, commercial acumen, research, data interpretation, and stakeholder-management skills.

Support marketing initiatives, campaigns, content, communications, brand storytelling, media outreach, employee engagement, and audience-focused strategies. Interns may work across product, client segment, digital, creative, events, marketing technology, market intelligence, and AI strategy teams. The program provides hands-on project experience, mentorship, professional development, and exposure to marketing within a global financial services organization.

Applies data science and analytical methods to business and engineering problems. Responsibilities include data profiling, feature engineering, identifying patterns and anomalies, building automated analytical processes and models, and translating insights into practical recommendations. The 10-week internship provides Agile project experience, mentorship, technical training, and exposure to machine learning, distributed computing, and scalable data-driven solutions.

Supports the Chief Operating Office with operational research, performance analysis, process improvement, governance documentation, project tracking, risk and milestone management, reporting, and AI initiative research. The intern helps identify efficiency opportunities, coordinate stakeholders, organize deliverables, and contribute to enterprise operational excellence within a 10-week financial services internship.

Supports the Chief Operating Office with operational research, process analysis, performance metrics, project tracking, governance documentation, risk and milestone monitoring, and process improvement. The intern will also research AI use cases, help identify automation opportunities, prepare reporting and updates, coordinate stakeholders, and contribute to enterprise initiatives during a 10-week summer program.

Supports application and platform maintenance, monitoring, troubleshooting, and production health analysis in an enterprise technology environment. Partners with cross-functional teams to resolve issues, execute improvements, document procedures, and improve reliability, resiliency, performance, and operational efficiency using AI and automation. The internship also provides exposure to Site Reliability Engineering, the software development lifecycle, and enterprise technology operations.

Supports risk and compliance teams by applying governance frameworks, analyzing risk information, identifying trends, assisting with reviews and reporting, and documenting controls. The intern gains exposure to credit, market, liquidity, operational, technology, compliance, model, AI, and enterprise risk. Responsibilities also include evaluating AI-related risks, data quality, privacy, explainability, regulatory expectations, and human oversight while collaborating with cross-functional teams.

Supports enterprise risk and compliance activities through framework application, risk analysis, governance reviews, reporting, documentation, control monitoring, and responsible AI oversight. The intern gains exposure to credit, market, liquidity, operational, technology, compliance, model, AI, and enterprise risk while developing analytical, communication, critical-thinking, and risk-management skills.

Apply data science and analytical methods to business and engineering problems. Analyze data, perform profiling and feature engineering, identify patterns and anomalies, and build automated analytical processes, models, and tools. Collaborate with engineering and business teams to translate insights into recommendations. The 10-week program includes meaningful project work, mentorship, technical training, networking, and exposure to BNY platforms and practices.