43:I[850074,["$4","$5","$6","$7","$8","$9","$a","$b","$c","$26"],"StandaloneJob"] 42:Tbcb,{"@context":"https://schema.org","@graph":[{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Specialist, Full-Stack Engineer","description":"\u003cp>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.\u003c/p>\n\u003cp>In this role, you’ll make an impact in the following ways: \u003c/p>\n\u003cul>\n \u003cli>Design and develop Regulatory / AI-powered solutions to solve complex enterprise data and analytics problems\u003c/li>\n \u003cli>Collaborate with platform, data, and product teams to design & develop solutions\u003c/li>\n \u003cli>Evaluate and experiment with emerging AI methodologies and frameworks to improve solution effectiveness\u003c/li>\n \u003cli>Document solution design, assumptions, and algorithms for enterprise adoption\u003cbr />\u003cbr />\n \u003c/li>\n\u003c/ul>\n\u003cp>To be successful in this role, we’re seeking the following: \u003c/p>\n\u003cul>\n \u003cli>\u003cb>Education\u003c/b>: Degree in Computer Science, Mathematics, AI, Data Science, or related quantitative field\u003c/li>\n \u003cli>\u003cb>Experience\u003c/b>: 2-5 years of software development; experience in the financial services industry is a plus\u003c/li>\n \u003cli>Experience developing Front-End and Back-end.\u003c/li>\n \u003cli>Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required\u003c/li>\n \u003cli>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.\u003c/li>\n \u003cli>Strong logical reasoning and mathematical thinking\u003c/li>\n \u003cli>Experience translating business problems into algorithmic solutions\u003c/li>\n \u003cli>Ability to work with large and complex datasets\u003c/li>\n \u003cli>Strong written and verbal communication skills for explaining complex concepts\u003c/li>\n \u003cli>Exposure to AI assisted experimentation and evaluation frameworks\u003c/li>\n\u003c/ul>","datePosted":"2026-06-26T03:35:14.000Z","employmentType":["FULL_TIME"],"jobLocation":[{"@type":"Place","address":{"@type":"PostalAddress","addressCountry":"US","addressRegion":"PA","addressLocality":"Pittsburgh"}}],"hiringOrganization":{"@type":"Organization","@id":"https://cosign.co/profile/organization/n172kwq48hsm8yeq54ktgsy3th8ewx53#organization","name":"BNY","sameAs":"https://cosign.co/profile/organization/n172kwq48hsm8yeq54ktgsy3th8ewx53","logo":"https://pbs.twimg.com/profile_images/1800482990062989312/a59zSH1W_400x400.jpg"},"url":"https://cosign.co/jobs/0971j2815e"},{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Jobs","item":"https://cosign.co/jobs"},{"@type":"ListItem","position":2,"name":"Senior Specialist, Full-Stack Engineer at BNY","item":"https://cosign.co/jobs/0971j2815e"}]}]}44:T642,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 frameworks45:T6cf,

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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