Jobs at BNY

Designs, develops, tests, deploys, and supports full-stack applications powering applied AI solutions and enterprise platforms. Integrates models, prompts, APIs, automation workflows, data services, and enterprise systems into secure, scalable product experiences. Responsibilities include technical design, coding, testing, debugging, code reviews, CI/CD, deployment, production support, performance tuning, observability, and technical debt reduction. Collaborates with product, engineering, data science, platform, operations, risk, and governance teams in complex enterprise environments.

Develop and maintain full-stack applications using Java, Spring Boot, and Angular. Build scalable APIs, responsive interfaces, and AI-enabled capabilities while translating business requirements into technical solutions. Responsibilities include coding, testing, debugging, performance optimization, architecture discussions, code reviews, deployment, production support, and cross-functional collaboration. The role requires ownership of features throughout the delivery lifecycle and familiarity with cloud platforms, containers, databases, CI/CD, distributed systems, and AI integrations.

Build, deploy, support, and enhance full-stack applications powering applied AI solutions and enterprise platforms. Integrate models, prompts, automation workflows, APIs, data services, and enterprise systems into secure, scalable products. Collaborate with product, engineering, data science, platform, risk, and governance teams on technical design, coding, testing, deployment, troubleshooting, performance, observability, and production readiness. Improve maintainability, reliability, and platform capabilities through reusable components and disciplined software engineering practices.

Design, develop, test, deploy, and support full-stack applications powering applied AI solutions and enterprise platforms. Integrate AI/ML capabilities, APIs, data services, automation workflows, and enterprise systems into secure, scalable products. Collaborate with product, engineering, data science, platform, risk, and governance teams on technical design and delivery. Responsibilities include code reviews, automated testing, debugging, performance tuning, release management, production readiness, observability, and ongoing platform enhancements.

Design, develop, test, deploy, and support full-stack applications powering applied AI solutions and enterprise platforms. Integrate AI/ML capabilities, APIs, data services, automation workflows, and enterprise systems into secure, scalable products. Collaborate with product, engineering, data science, platform, risk, and governance teams on technical design and delivery. Contribute to code reviews, testing, CI/CD, release planning, production readiness, troubleshooting, performance tuning, observability, and maintainability improvements.

Lead the design, development, testing, and optimization of full-stack applications. Collaborate with cross-functional teams, conduct code reviews, mentor junior engineers, contribute to architecture decisions, and guide technology strategy while applying modern engineering practices.

Supports AML monitoring as a techno-functional Business Analyst, analyzing financial transaction data and documenting business, functional, data mapping, and ETL requirements for NICE Actimize. The role validates data quality and lineage, supports rule and alert implementation, conducts testing and impact assessments, and collaborates with business, compliance, technology, delivery, and production support stakeholders.

Lead the architecture, design, and development of enterprise full-stack applications across frontend, backend, integration, and data layers. Build scalable Angular and Java/Spring microservices, REST APIs, AI-enabled features, and reusable UI components. Collaborate across platform teams, support vendor software, prioritize projects, manage stakeholders, provide second-level support, develop unit tests, and implement CI/CD pipelines and automated releases.

Leads the design, development, testing, and debugging of scalable full-stack web applications. Collaborates with cross-functional teams on new features, performance, architecture, and strategic technology direction. Conducts code reviews, mentors junior engineers, applies engineering best practices, and evaluates emerging technologies to enhance BNY’s engineering capabilities.

The Director of Liquidity Risk will oversee liquidity risk management, develop frameworks, engage with various teams, and present risk analyses to leadership.

Lead treasury and asset-liability management (ALM) modeling and forecasting for interest rate risk. Develop and monitor IRR policies, run and validate IRR models, ensure regulatory compliance, deliver senior management reporting, advise on product risks, lead projects, and maintain data quality for IRR processes.

Lead design, development, and maintenance of scalable, high-performance database solutions. Optimize performance and security, integrate databases with applications, drive automation, mentor junior engineers, and adopt best practices and emerging technologies to support business objectives.

Design and maintain backend services and APIs, integrate observability solutions, enforce software quality standards, and develop CI/CD pipelines while leveraging AI tools.

Lead architecture, design, and development of enterprise full‑stack applications. Build scalable frontends (Angular/TypeScript) and backend microservices (Spring Boot). Implement AI-enabled features, containerized deployments, CI/CD pipelines, and ensure resiliency, disaster recovery, security, and production readiness across cross-functional initiatives.

Lead RCAR AI/Innovation strategy and deliver production-grade AI/ML solutions for risk and compliance. Manage cross-functional teams, prioritize use cases, implement MLOps and responsible AI practices, ensure governance and model risk controls, track KPIs, and drive adoption across domains and regions.

Lead design and development of trading and messaging channels; build core Java components; implement testing and CI/CD; support/operate mission-critical fixed-income trading systems; integrate market data feeds; collaborate with stakeholders and vendors; provide second-level support and deliver enhancements.