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BNY

Senior Specialist, Full-Stack Engineer

BNY Manchester
32 - 40 hour
new


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    BNY

    Senior Specialist, Full-Stack Engineer

    BNY Manchester
    32 - 40 hour
    new
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Full-Stack Engineer (Senior Specialist) 

    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 Full-Stack Engineer (Senior Specialist) to join our Finance Hub team. This role is located in Manchester. 

    Role Overview:

    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.

    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 in software development; experience in the financial services industry is a plus

    Skills:

    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

    Exposure to AI assisted experimentation and evaluation frameworks

    At BNY, our culture speaks for itself, check out the latest BNY news at:

     Here’s a few of our recent awards: 

    America’s Most Innovative Companies, Fortune, 2025

    World’s Most Admired Companies, Fortune 2025

    “Most Just Companies”, Just Capital and CNBC, 2025

    Our Benefits and Rewards:

    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. 

    BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans
    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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