Specialist, Full-Stack Engineer II

BNY Mellon•New York, NY
•$59,000 - $97,000•Onsite

About The Position

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. 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. We’re seeking a future team member for the role of Specialist Full Stack Engineer to join our Finance Hub in New York, NY. The role focuses on strong data analysis skills, logical thinking, problem solving, and system design to develop scalable solutions/ AI-enabled capabilities across data platforms and applications. The ideal candidate is comfortable working across the full lifecycle of software development - from gathering requirements, design, build & implement.

Requirements

  • Degree in Computer Science, Mathematics, AI, Data Science, or related quantitative field
  • 2-5 years of software development; experience in the financial services industry is a plus
  • Experience developing Front-End and Back-end.
  • Knowledgeable about cross-platform interoperability (multiple platforms i.e. NT, Intranet, etc.), major tools in a toolkit for a specific platform and features of multiple toolkits.
  • Strong logical reasoning and mathematical thinking
  • Experience translating business problems into algorithmic solutions
  • Ability to work with large and complex datasets
  • Strong written and verbal communication skills for explaining complex concepts

Responsibilities

  • Design and develop Regulatory / AI-powered solutions to solve complex enterprise data and analytics problems
  • Collaborate with platform, data, and product teams to design & develop solutions
  • Evaluate and experiment with emerging AI methodologies and frameworks to improve solution effectiveness
  • Document solution design, assumptions, and algorithms for enterprise adoption

Benefits

  • highly competitive compensation
  • benefits
  • wellbeing programs
  • access to flexible global resources and tools
  • generous paid leaves
  • paid volunteer time
  • medical, dental, vision, and basic life insurance plans
  • various paid time off benefits, such as vacation and sick time
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