About this role
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 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