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Senior Specialist, Full-Stack Engineer

BNY • Wealth Management & Financial Advisors • Asset Management & Funds • Bachelor's Degree • 4 months ago

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Salary

≈ $98k – $179k per year (Estimated)

Location

In office (Pittsburgh)

Seniority

Senior · 2+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jun 26, 2026. BNY scores A on the Alion truth index.

Overview

Company

Impact

Profile match

BNY

BNY, formerly BNY Mellon, is a global financial services company headquartered in New York City, providing custody, fund administration, clearing, corporate trust, treasury and payments services, investment management through BNY Investments, and wealth management to institutions and individuals. Founded in 1784 by Alexander Hamilton, it oversees about 62.6 trillion dollars in assets under custody and administration and has large operations in Pittsburgh, Lake Mary, Manchester, London, Dublin and Pune. Hiring spans fund administration and client service, audit, data, AI and full-stack engineering, product management and analyst and summer internship programs.

bny.com • HQ: New York, United States • Asset Management & Funds • Custody & Fund Administration • Wealth Management & Financial Advisors • 1001-5000 employees • Est. 1784

Tech stack of BNY

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