Senior Specialist, Full-Stack Engineer

The Bank of New York Mellon

  • Pittsburgh, PA
  • 11 days ago

    Highlights

    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. In this role, you'll make an impact in the following ways: Design and develop Regulatory / AI-powered solutions to solve complex enterprise data and analytics problems.

    Numbers & Facts

    LocationPittsburgh, PA

    Description

    JobID: 77841

    Category: Full-Stack Development

    JobSchedule: Full time

    Posted Date: 2026-06-26T03:35:14+00:00

    JobShift: Day

    Base Salary Min: 71000

    We're seeking a future team member for the role of Senior Specialist, Full-Stack Engineer to join our FINANCE REG RPTG TECH - team. This role is in Pittsburgh, PA.

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

    • 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

    To be successful in this role, we're seeking the following:

    • Education: Degree in Computer Science, Mathematics, AI, Data Science, or related quantitative field
    • Experience: 2-5 years of software development; experience in the financial services industry is a plus
    • Experience developing Front-End and Back-end.
    • Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required
    • 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
    • Exposure to AI assisted experimentation and evaluation frameworks

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